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 pytorch_model.bin from Roy029/mPyT5-epoch5: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Roy029/mPyT5-epoch5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy029/mPyT5-epoch5/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 3091124fe2133df6b5995a1572e5dcd86a444592571c18f18c337663bc8a5ec0
- Size of remote file:
- 1.2 GB
- SHA256:
- c4143c388880fd5d1bcfdcf7bb68075fbeb1bdf49c22df9cffe97d8f82de32f3
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