Instructions to use michaelfeil/ct2fast-falcon-40b-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-falcon-40b-instruct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-falcon-40b-instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df04544adb5a75f256c61c7016156ede4484f8d6e66fee868207fa8c21bba87f
- Size of remote file:
- 41.3 GB
- SHA256:
- 202af975b547f9baa0adac97797111b4a55c85cdcc385850da33da25f785602a
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