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 optimizer.pt from patrickNLP/Graphix-3B: direct link, hf CLI and curl.
- Browser
- Download file 16.8 MB
-
https://huggingface.co/patrickNLP/Graphix-3B/resolve/main/optimizer.pt
- Command line
-
hf download hf://patrickNLP/Graphix-3B/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/patrickNLP/Graphix-3B/resolve/main/optimizer.pt
16.8 MB
- Xet hash:
- de4224bfaace6404f43a74be70c78435da647dfeb2e28dec343a06232f19a3d4
- Size of remote file:
- 16.8 MB
- SHA256:
- 06d14f82d084ec55c47952fbae118743e19405c0ac6030a69e2815c6ffb8202c
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