Instructions to use baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Intel/neural-chat-7b-v3-3") model = PeftModel.from_pretrained(base_model, "baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/baby-dev/0fbae6b2-e1f2-4769-a6b4-a6933a8e11d3/resolve/main/adapter_model.safetensors
336 MB
- Xet hash:
- 82b52c0d42e0fbd5790e7d9d8b8f36510ea4219f711c1631e71115faca247e41
- Size of remote file:
- 336 MB
- SHA256:
- 9007541fa4985e293621604108fa70e806f2273148d627ca3f58fc9b19fcd24f
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