Instructions to use Roy029/mpyt5_e5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mpyt5_e5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mpyt5_e5") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mpyt5_e5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Roy029/mpyt5_e5: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Roy029/mpyt5_e5/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Roy029/mpyt5_e5/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy029/mpyt5_e5/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 6210a57ed0f3dea5dc85bbf0166279d64e5985c0a88d2e606ee08694803d9a29
- Size of remote file:
- 1.2 GB
- SHA256:
- 82d6e42646f1ab94569439bda9f4543798bbb146b9448ff3dd4b727eebdb9104
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