Instructions to use michaelfeil/ct2fast-falcon-40b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use michaelfeil/ct2fast-falcon-40b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("michaelfeil/ct2fast-falcon-40b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from michaelfeil/ct2fast-falcon-40b: direct link, hf CLI and curl.
- Browser
- Download file 41.3 GB
-
https://huggingface.co/michaelfeil/ct2fast-falcon-40b/resolve/main/model.bin
- Command line
-
hf download hf://michaelfeil/ct2fast-falcon-40b/model.bin
-
curl -L -o model.bin https://huggingface.co/michaelfeil/ct2fast-falcon-40b/resolve/main/model.bin
41.3 GB
- Xet hash:
- 61c79d582cba3e35a486dc2d99e81e4e7d397fff09b980b16ca9f9855eac4c81
- Size of remote file:
- 41.3 GB
- SHA256:
- 682d1f677a933c24ff9a26f8876daaea8c409e935d3a12afdbbd095048165a5e
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