Instructions to use error577/71646966-4a6c-455b-a2fa-5c3e40efd67b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/71646966-4a6c-455b-a2fa-5c3e40efd67b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("OpenBuddy/openbuddy-llama2-13b-v8.1-fp16") model = PeftModel.from_pretrained(base_model, "error577/71646966-4a6c-455b-a2fa-5c3e40efd67b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/71646966-4a6c-455b-a2fa-5c3e40efd67b: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/71646966-4a6c-455b-a2fa-5c3e40efd67b/resolve/main/adapter_model.safetensors
501 MB
- Xet hash:
- 39b4516d47a15d90102b1ca7f6082091945c99fe75929c4e1b8acd2615fb8473
- Size of remote file:
- 501 MB
- SHA256:
- f7bdbc9f4677f488a0d929c051a527f901158fd7635a24a9e4505abce014a5b6
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