Instructions to use codeiceman/deep_v1_instruct_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codeiceman/deep_v1_instruct_2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("codeiceman/deep_v1_instruct_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Download adapter_model.safetensors from codeiceman/deep_v1_instruct_2: direct link, hf CLI and curl.
- Browser
- Download file 300 MB
-
https://huggingface.co/codeiceman/deep_v1_instruct_2/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://codeiceman/deep_v1_instruct_2/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/codeiceman/deep_v1_instruct_2/resolve/main/adapter_model.safetensors
300 MB
- Xet hash:
- eede74645ed8a81a8b8a856ef9441abee50d1d576583e90d824ca44c736340bb
- Size of remote file:
- 300 MB
- SHA256:
- 6f93377175de1c696f09df460601c9f72781c1c3e581e7f105c00ac32f362c5b
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