Instructions to use selfconstruct3d/FALCON-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selfconstruct3d/FALCON-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="selfconstruct3d/FALCON-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/FALCON-base") model = AutoModel.from_pretrained("selfconstruct3d/FALCON-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from selfconstruct3d/FALCON-base: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/selfconstruct3d/FALCON-base/resolve/main/model.safetensors
- Command line
-
hf download hf://selfconstruct3d/FALCON-base/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/selfconstruct3d/FALCON-base/resolve/main/model.safetensors
597 MB
- Xet hash:
- be2b415dff8492d70072adab086fa18750c485d7962645e04624f3eb775b3b31
- Size of remote file:
- 597 MB
- SHA256:
- e1c1f2727a904c648f1ccbcbfc30377858fdb588991697550e5b622cd03c901f
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