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a072660bf5
# What does this PR do? A few tokenizer_config in huggingface use LlamaTokenizer, so I think I would have selected `LlamaTokenizer` before. For a few cases where you're using a llama structure but not a llama tokenizer, why not make it to call the AutoTokenizer in exception handling. In the case of `decapoda-research/llama-7b-hf`, LLamaTokenizer is still being used in config.json, so it should be called through` LlamaTokenizer`. Also, if an exception is thrown by LlamaTokenizer, it will cause `LlamaTokenzierFast` to be called from AutoTokenizer. Fixes # 560 ## Before submitting - [ ] This PR fixes a typo or improves the docs (you can dismiss the other checks if that's the case). - [ ] Did you read the [contributor guideline](https://github.com/huggingface/transformers/blob/main/CONTRIBUTING.md#start-contributing-pull-requests), Pull Request section? - [ ] Was this discussed/approved via a Github issue or the [forum](https://discuss.huggingface.co/)? Please add a link to it if that's the case. - [x] Did you make sure to update the documentation with your changes? Here are the [documentation guidelines](https://github.com/huggingface/transformers/tree/main/docs), and [here are tips on formatting docstrings](https://github.com/huggingface/transformers/tree/main/docs#writing-source-documentation). - [ ] Did you write any new necessary tests? ## Who can review? Anyone in the community is free to review the PR once the tests have passed. Feel free to tag members/contributors who may be interested in your PR. @Narsil |
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| .. | ||
| custom_modeling | ||
| __init__.py | ||
| bloom.py | ||
| causal_lm.py | ||
| flash_causal_lm.py | ||
| flash_llama.py | ||
| flash_neox.py | ||
| flash_rw.py | ||
| flash_santacoder.py | ||
| galactica.py | ||
| gpt_neox.py | ||
| model.py | ||
| mpt.py | ||
| opt.py | ||
| rw.py | ||
| santacoder.py | ||
| seq2seq_lm.py | ||
| t5.py | ||
| types.py | ||