Instructions to use thanhnew2001/falcon7b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thanhnew2001/falcon7b with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("thanhnew2001/falcon7b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.bin from thanhnew2001/falcon7b: direct link, hf CLI and curl.
- Browser
- Download file 6.93 GB
-
https://huggingface.co/thanhnew2001/falcon7b/resolve/main/model.bin
- Command line
-
hf download hf://thanhnew2001/falcon7b/model.bin
-
curl -L -o model.bin https://huggingface.co/thanhnew2001/falcon7b/resolve/main/model.bin
6.93 GB
- Xet hash:
- 21d332973c8495f423992ad085ebaa78e903d72f4f319c7b35a477ca63155f67
- Size of remote file:
- 6.93 GB
- SHA256:
- 458ef6adb40a3c6019843c8af623172cda46bc73a76a8e9a704b983a22ef5f9f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.