Instructions to use havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/GPT4-x-Vicuna-13b-fp16") model = PeftModel.from_pretrained(base_model, "havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077: direct link, hf CLI and curl.
- Browser
- Download file 125 MB
-
https://huggingface.co/havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/havinash-ai/0dfdebfd-8afa-4e62-b03d-14ee02133077/resolve/main/adapter_model.safetensors
125 MB
- Xet hash:
- ff72cc198aacefbcccc077e037b565efbe6804ccbcbefcbe25ee6589e3565a7f
- Size of remote file:
- 125 MB
- SHA256:
- 21158e0839814d1acceb8eec657e1aa0ff410daf2da01ae70f40559968e90504
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