Instructions to use alayaran/bodo-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alayaran/bodo-t5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alayaran/bodo-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("alayaran/bodo-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from alayaran/bodo-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 803 MB
-
https://huggingface.co/alayaran/bodo-t5-base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://alayaran/bodo-t5-base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/alayaran/bodo-t5-base/resolve/main/flax_model.msgpack
803 MB
- Xet hash:
- 08fd0320d6743c31178ea2251e65e883559b93bf907dc44630f38c81af208617
- Size of remote file:
- 803 MB
- SHA256:
- 3cf94835345908fe26bee834675a8564c648dfab280eb5e626643489daecd0c6
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