Instructions to use bear7011/In_breadth3_diff_parameters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bear7011/In_breadth3_diff_parameters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("bear7011/In_breadth3_diff_parameters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from bear7011/In_breadth3_diff_parameters: direct link, hf CLI and curl.
- Browser
- Download file 83.9 MB
-
https://huggingface.co/bear7011/In_breadth3_diff_parameters/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://bear7011/In_breadth3_diff_parameters/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/bear7011/In_breadth3_diff_parameters/resolve/main/adapter_model.safetensors
83.9 MB
- Xet hash:
- dc6d0f38bc8398cabe0f10bcb50e0417d95a45173c1a4ff5931b678212e766fc
- Size of remote file:
- 83.9 MB
- SHA256:
- 51c8e7ad6d6169522af220543f93e1c2b02bb8e7f6ffc72f4c65d28f18595382
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