Instructions to use Roy029/mPyT5-epoch5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mPyT5-epoch5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mPyT5-epoch5") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mPyT5-epoch5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Roy029/mPyT5-epoch5: direct link, hf CLI and curl.
- Browser
- Download file 16.4 MB
-
https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/tokenizer.json
- Command line
-
hf download hf://Roy029/mPyT5-epoch5/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/tokenizer.json
16.4 MB
- Xet hash:
- a85a310ace7a6d212023783b93d218cea7c5fb45fc3154537a98f2fe087f61f0
- Size of remote file:
- 16.4 MB
- SHA256:
- b1e0cddb87db07dbffb05085ea4a84aec820a9d297dc524565b31449bb3b6241
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