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This PR addresses several long-standing issues across the Spark NLP example notebooks #14620

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Merged
merged 4 commits into from
Jul 7, 2025
Merged

This PR addresses several long-standing issues across the Spark NLP example notebooks #14620

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ad77d1d
fix: update and standardize HuggingFace import example notebooks
AbdullahMubeenAnwar Jul 4, 2025
6246700
Removed legacy notebook metadata that broke GitHub preview
AbdullahMubeenAnwar Jul 4, 2025
8f464bc
removing all installation outputs
AbdullahMubeenAnwar Jul 4, 2025
5754f59
remove duplicate notebook
DevinTDHa Jul 7, 2025
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2,191 changes: 210 additions & 1,981 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_ALBERT.ipynb
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506 changes: 321 additions & 185 deletions ...ples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_AlbertForMultipleChoice.ipynb
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2,148 changes: 118 additions & 2,030 deletions ...s/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_AlbertForQuestionAnswering.ipynb
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2,295 changes: 260 additions & 2,035 deletions ...hon/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_AlbertForSequenceClassification.ipynb
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2,672 changes: 197 additions & 2,475 deletions ...python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_AlbertForTokenClassification.ipynb
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4,650 changes: 684 additions & 3,966 deletions ...hon/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_AlbertForZeroShotClassification.ipynb
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2,736 changes: 555 additions & 2,181 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_BERT.ipynb
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3,172 changes: 422 additions & 2,750 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_BGE.ipynb
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573 changes: 176 additions & 397 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_Bart.ipynb
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2,759 changes: 212 additions & 2,547 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_BartForZeroShot.ipynb
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98 changes: 34 additions & 64 deletions examples/python/transformers/onnx/HuggingFace_ONNX_in_Spark_NLP_BartTransformer.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -40,41 +40,15 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {
"id": "yy9Ig4tY3L0z",
"outputId": "2104230a-63f9-4778-f218-484fa5eebe8f",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"id": "yy9Ig4tY3L0z",
"outputId": "2104230a-63f9-4778-f218-484fa5eebe8f"
},
"outputs": [
{
"metadata": {
"tags": null
},
"name": "stdout",
"output_type": "stream",
"text": [
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m433.6/433.6 kB\u001b[0m \u001b[31m11.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m17.6/17.6 MB\u001b[0m \u001b[31m63.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m16.4/16.4 MB\u001b[0m \u001b[31m72.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m363.4/363.4 MB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m13.8/13.8 MB\u001b[0m \u001b[31m62.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m24.6/24.6 MB\u001b[0m \u001b[31m52.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m883.7/883.7 kB\u001b[0m \u001b[31m29.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m664.8/664.8 MB\u001b[0m \u001b[31m1.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m211.5/211.5 MB\u001b[0m \u001b[31m1.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m56.3/56.3 MB\u001b[0m \u001b[31m14.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m127.9/127.9 MB\u001b[0m \u001b[31m7.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m207.5/207.5 MB\u001b[0m \u001b[31m5.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m21.1/21.1 MB\u001b[0m \u001b[31m54.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m46.0/46.0 kB\u001b[0m \u001b[31m2.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m86.8/86.8 kB\u001b[0m \u001b[31m5.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
"\u001b[?25h"
]
}
],
"outputs": [],
"source": [
"!pip install -q --upgrade transformers optimum onnx onnxruntime"
]
Expand Down Expand Up @@ -105,16 +79,16 @@
"cell_type": "code",
"execution_count": 3,
"metadata": {
"id": "1F7dqTBe3L01",
"outputId": "04ec1dfb-0327-42c2-e058-e7ca52c847a2",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"id": "1F7dqTBe3L01",
"outputId": "04ec1dfb-0327-42c2-e058-e7ca52c847a2"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"2025-05-13 14:31:06.182461: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered\n",
"WARNING: All log messages before absl::InitializeLog() is called are written to STDERR\n",
Expand Down Expand Up @@ -200,57 +174,57 @@
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"id": "nCc4TrW3IVCs"
},
"outputs": [],
"source": [
"import json\n",
"output_json = json.load(open(f\"{EXPORT_PATH}/vocab.json\"))\n",
"\n",
"with open(f\"{EXPORT_PATH}/assets/vocab.txt\", \"w\") as f:\n",
" for key in output_json.keys():\n",
" print(key, file=f)"
],
"metadata": {
"id": "nCc4TrW3IVCs"
},
"execution_count": 9,
"outputs": []
]
},
{
"cell_type": "code",
"source": [
"!mv {EXPORT_PATH}/merges.txt {EXPORT_PATH}/assets"
],
"execution_count": 10,
"metadata": {
"id": "Jgrbr5_iISGa",
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "Jgrbr5_iISGa",
"outputId": "042b47be-d0c0-4ae6-892a-d48a280f9d59"
},
"execution_count": 10,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"mv: cannot stat 'export_onnx/sshleifer/distilbart-xsum-12-6/merges.txt': No such file or directory\n"
]
}
],
"source": [
"!mv {EXPORT_PATH}/merges.txt {EXPORT_PATH}/assets"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"id": "qFXX_acJ3L03",
"outputId": "09206d0e-c68c-472c-9f0c-9a433f59ea0a",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"id": "qFXX_acJ3L03",
"outputId": "09206d0e-c68c-472c-9f0c-9a433f59ea0a"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"total 3152352\n",
"drwxr-xr-x 2 root root 4096 May 13 14:34 assets\n",
Expand Down Expand Up @@ -294,17 +268,17 @@
"cell_type": "code",
"execution_count": 28,
"metadata": {
"id": "udnbTHNj8WR6",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 582
},
"id": "udnbTHNj8WR6",
"outputId": "413b9a26-5121-4835-8929-bd051ba7293f"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"Installing PySpark 3.2.3 and Spark NLP 6.0.0\n",
"setup Colab for PySpark 3.2.3 and Spark NLP 6.0.0\n",
Expand Down Expand Up @@ -336,19 +310,19 @@
]
},
{
"output_type": "display_data",
"data": {
"application/vnd.colab-display-data+json": {
"id": "a0a7f59038d342b4a4cd8ee099c8f6a3",
"pip_warning": {
"packages": [
"py4j",
"pyspark"
]
},
"id": "a0a7f59038d342b4a4cd8ee099c8f6a3"
}
}
},
"metadata": {}
"metadata": {},
"output_type": "display_data"
}
],
"source": [
Expand All @@ -375,8 +349,7 @@
"source": [
"import sparknlp\n",
"# let's start Spark with Spark NLP\n",
"spark = sparknlp.start()\n",
""
"spark = sparknlp.start()\n"
]
},
{
Expand Down Expand Up @@ -475,8 +448,8 @@
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"output_type": "stream",
"text": [
"ls: cannot access 'sshleifer/distilbart-xsum-12-6_spark_nlp': No such file or directory\n"
]
Expand Down Expand Up @@ -533,9 +506,6 @@
},
"outputs": [
{
"metadata": {
"tags": null
},
"name": "stdout",
"output_type": "stream",
"text": [
Expand Down Expand Up @@ -613,4 +583,4 @@
},
"nbformat": 4,
"nbformat_minor": 0
}
}
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