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")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("selfconstruct3d/FALCON-base") model = AutoModel.from_pretrained("selfconstruct3d/FALCON-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- be2b415dff8492d70072adab086fa18750c485d7962645e04624f3eb775b3b31
- Size of remote file:
- 597 MB
- SHA256:
- e1c1f2727a904c648f1ccbcbfc30377858fdb588991697550e5b622cd03c901f
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