Instructions to use Linsad/cccc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Linsad/cccc1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Linsad/cccc1", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model
Verified signatureThis is an automated PR created with https://huggingface.co/spaces/safetensors/convert This new file is equivalent to `pytorch_model.bin` but safe in the sense that no arbitrary code can be put into it. These files also happen to load much faster than their pytorch counterpart: https://colab.research.google.com/github/huggingface/notebooks/blob/main/safetensors_doc/en/speed.ipynb The widgets on your model page will run using this model even if this is not merged making sure the file actually works. If you find any issues: please report here: https://huggingface.co/spaces/safetensors/convert/discussions Feel free to ignore this PR.33a9e7d
-
Update handler.py
Verified signature7b13088 -
Update handler.py
Verified signature54248b6 -
Upload pytorch_model.bin
Verified signature4b763aa -
Delete pytorch_model.bin
Verified signature551d288
-
Update handler.py
Verified signature2e1859f -
Update handler.py
Verified signature35281af -
Update handler.py
Verified signature631559b
-
Upload requirements.txt
816f0f4 -
Update handler.py
ab65af6 -
Update handler.py
750f8c6 -
Update handler.py
0e501f1 -
Upload handler.py
50aa043
-
Duplicate from THUDM/chatglm2-6b-int4
Co-authored-by: Zhengxiao Du <zxdu20@users.noreply.huggingface.co>3caac00