Instructions to use havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("UCLA-AGI/Gemma-2-9B-It-SPPO-Iter2") model = PeftModel.from_pretrained(base_model, "havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4: direct link, hf CLI and curl.
- Browser
- Download file 108 MB
-
https://huggingface.co/havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/havinash-ai/c5feaada-eb55-42bc-9402-2d6bf3824df4/resolve/main/adapter_model.safetensors
108 MB
- Xet hash:
- acea00e646f13b39d6210f247b8f3fa287870081b06052285113c1a690907b46
- Size of remote file:
- 108 MB
- SHA256:
- 758bdd0ef860c056b4c48448d679fd085dd9ac3befb9e4054cc7729168549619
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