Instructions to use north/byt5_base_NCC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/byt5_base_NCC with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/byt5_base_NCC") model = AutoModelForSeq2SeqLM.from_pretrained("north/byt5_base_NCC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/byt5_base_NCC: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/north/byt5_base_NCC/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/byt5_base_NCC/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/byt5_base_NCC/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- 9ee5a3f611c5a797853e051102e10b4ae86787c6849ad599e3d69d4294bfb3e5
- Size of remote file:
- 2.33 GB
- SHA256:
- 055bba8e7d7e936a3e563a9ddabe78e4c236e13dc127c1b9c55deeb57c00cebe
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