Instructions to use Roy029/mt5_py500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Roy029/mt5_py500 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Roy029/mt5_py500") model = AutoModelForSeq2SeqLM.from_pretrained("Roy029/mt5_py500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Roy029/mt5_py500: direct link, hf CLI and curl.
- Browser
- Download file 1.2 GB
-
https://huggingface.co/Roy029/mt5_py500/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Roy029/mt5_py500/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Roy029/mt5_py500/resolve/main/pytorch_model.bin
1.2 GB
- Xet hash:
- eb8ce914c9d02febabb00584976e9191c2c68af2cc39057e9a22fda6067867ef
- Size of remote file:
- 1.2 GB
- SHA256:
- 75084a3a977923bb35512d47ba25fb0ab82b061d6f59cf026c5e2b7adbc3026f
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