Instructions to use neuralnets/cf_codebot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use neuralnets/cf_codebot with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("neuralnets/cf_codebot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from neuralnets/cf_codebot: direct link, hf CLI and curl.
- Browser
- Download file 29.9 MB
-
https://huggingface.co/neuralnets/cf_codebot/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://neuralnets/cf_codebot/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/neuralnets/cf_codebot/resolve/main/adapter_model.safetensors
29.9 MB
- Xet hash:
- f187cf36da95b54bd192bf8f613109757dc25d63e0b51582d56aed6f1640c441
- Size of remote file:
- 29.9 MB
- SHA256:
- 81342cafad983e3d1b07397be187ec9638c04c42710927404dc9a00063b45f81
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.