Instructions to use Roy029/mpyt5_e10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mpyt5_e10 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mpyt5_e10") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mpyt5_e10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Roy029/mpyt5_e10: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Roy029/mpyt5_e10/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Roy029/mpyt5_e10/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy029/mpyt5_e10/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- 228165e9fc183bf8ca8f5033525afc6a4759a2843498ac08426525f09db322a5
- Size of remote file:
- 1.2 GB
- SHA256:
- 3268f8a8fe6a8ee953ae61f5161106e180296a878fc69f0529da9851a057341d
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