Instructions to use north/fine_North_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use north/fine_North_base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("north/fine_North_base") model = AutoModelForSeq2SeqLM.from_pretrained("north/fine_North_base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download flax_model.msgpack from north/fine_North_base: direct link, hf CLI and curl.
- Browser
- Download file 2.33 GB
-
https://huggingface.co/north/fine_North_base/resolve/main/flax_model.msgpack
- Command line
-
hf download hf://north/fine_North_base/flax_model.msgpack
-
curl -L -o flax_model.msgpack https://huggingface.co/north/fine_North_base/resolve/main/flax_model.msgpack
2.33 GB
- Xet hash:
- 9c65465fd40603317ebc986fff1ed75136622359e1542e111cf85e4be659a35c
- Size of remote file:
- 2.33 GB
- SHA256:
- 9bffa8608e66655a7e99017923cd7c5194d5002fe2851c5ed46c09eb31eb09f1
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