Instructions to use patrickNLP/Graphix-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickNLP/Graphix-3B with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("patrickNLP/Graphix-3B") model = AutoModel.from_pretrained("patrickNLP/Graphix-3B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from patrickNLP/Graphix-3B: direct link, hf CLI and curl.
- Browser
- Download file 14.2 GB
-
https://huggingface.co/patrickNLP/Graphix-3B/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://patrickNLP/Graphix-3B/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/patrickNLP/Graphix-3B/resolve/main/pytorch_model.bin
14.2 GB
- Xet hash:
- 6a24d9c70a1623a65d91855aed3fa1af4f7e21141d3cbbc824e1cf84b2776b1d
- Size of remote file:
- 14.2 GB
- SHA256:
- b4e8f5e12247d01a380d3605c361233ad7c44edb392051b59f2f6898102ada21
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