Update transformers requirement from <4.8,>=4.1 to >=4.1,<4.9

[dependabot]

Updates the requirements on transformers to permit the latest version.

Release notes

Sourced from transformers's releases.

v4.8.0 Integration with the Hub and Flax/JAX support

Integration with the Hub

Our example scripts and Trainer are now optimized for publishing your model on the Hugging Face Hub, with Tensorboard training metrics, and an automatically authored model card which contains all the relevant metadata, including evaluation results.

Trainer Hub integration

Use --push_to_hub to create a model repo for your training and it will be saved with all relevant metadata at the end of the training.

Other flags are:

• push_to_hub_model_id to control the repo name
• push_to_hub_organization to specify an organization

Visualizing Training metrics on huggingface.co (based on Tensorboard)

By default if you have tensorboard installed the training scripts will use it to log, and the logging traces folder is conveniently located inside your model output directory, so you can push them to your model repo by default.

Any model repo that contains Tensorboard traces will spawn a Tensorboard server:

which makes it very convenient to see how the training went! This Hub feature is in Beta so let us know if anything looks weird :)

See this model repo

Model card generation

The model card contains info about the datasets used, the eval results, ...

Many users were already adding their eval results to their model cards in markdown format, but this is a more structured way of adding them which will make it easier to parse and e.g. represent in leaderboards such as the ones on Papers With Code!

We use a format specified in collaboration with [PaperswithCode] (https://github.com/huggingface/huggingface_hub/blame/main/modelcard.md), see also this repo.

Model, tokenizer and configurations

All models, tokenizers and configurations having a revamp push_to_hub() method as well as a push_to_hub argument in their save_pretrained() method. The workflow of this method is changed a bit to be more like git, with a local clone of the repo in a folder of the working directory, to make it easier to apply patches (use use_temp_dir=True to clone in temporary folders for the same behavior as the experimental API).

• Clean push to hub API #12187 (@​sgugger)

Flax/JAX support

Flax/JAX is becoming a fully supported backend of the Transformers library with more models having an implementation in it. BART, CLIP and T5 join the already existing models, find the whole list here.

• [Flax] FlaxAutoModelForSeq2SeqLM #12228 (@​patil-suraj)
• [FlaxBart] few small fixes #12247 (@​patil-suraj)
• [FlaxClip] fix test from/save pretrained test #12284 (@​patil-suraj)
• [Flax] [WIP] allow loading head model with base model weights #12255 (@​patil-suraj)

... (truncated)

Commits

• 468cda2 [Flax T5] Fix weight initialization and fix docs (#12327)
• 12a4457 Pin good version of huggingface_hub
• 986ac03 changed modeling_fx_utils.py to utils/fx.py for clarity (#12326)
• 941b444 Temporarily revert the fill-mask improvements.
• 4bdff2c Conda build (#12323)
• 9eda6b5 Add all XxxPreTrainedModel to the main init (#12314)
• 53c60ba Clean push to hub API (#12187)
• 625f512 [TFWav2Vec2] Fix docs (#12283)
• 44739c8 [Flax/JAX] Add how to propose projects markdown (#12311)
• ef3dcef Add mention of the huggingface_hub methods for offline mode (#12320)
• Additional commits viewable in compare view

Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase.

---

Dependabot commands and options

You can trigger Dependabot actions by commenting on this PR:

• @dependabot rebase will rebase this PR
• @dependabot recreate will recreate this PR, overwriting any edits that have been made to it
• @dependabot merge will merge this PR after your CI passes on it
• @dependabot squash and merge will squash and merge this PR after your CI passes on it
• @dependabot cancel merge will cancel a previously requested merge and block automerging
• @dependabot reopen will reopen this PR if it is closed
• @dependabot close will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually
• @dependabot ignore this major version will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this minor version will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself)
• @dependabot ignore this dependency will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself)