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 spiece.model from Roy029/mPyT5-epoch5: direct link, hf CLI and curl.
- Browser
- Download file 4.35 MB
-
https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/spiece.model
- Command line
-
hf download hf://Roy029/mPyT5-epoch5/spiece.model
-
curl -L -o spiece.model https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/spiece.model
4.35 MB
- Xet hash:
- 3eefe3c97072d0bffd456a982ab457048e752bd5a34e5523d18c42a0ee2e515c
- Size of remote file:
- 4.35 MB
- SHA256:
- 2fea3b4cc1b5c049581e7612bc7a9c1dc0b50bdc170751df757eacc24cdc082a
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