Instructions to use north/fine_North_large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/fine_North_large with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/fine_North_large") model = AutoModelForSeq2SeqLM.from_pretrained("north/fine_North_large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/fine_North_large: direct link, hf CLI and curl.
- Browser
- Download file 4.92 GB
-
https://huggingface.co/north/fine_North_large/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/fine_North_large/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/fine_North_large/resolve/main/flax_model.msgpack
4.92 GB
- Xet hash:
- 3d163556b8424b47ff6f367d1c95b8656da7b8b577eec9c9f7b285db265071d9
- Size of remote file:
- 4.92 GB
- SHA256:
- 952384b0efdcd4b18b6882eaf7c4b15be2e902d3421059b6bec0f143751837c1
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