Instructions to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use error577/53fda5b9-5939-40dc-9ebf-83573229889a with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Llama-2-13b-64k") model = PeftModel.from_pretrained(base_model, "error577/53fda5b9-5939-40dc-9ebf-83573229889a") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from error577/53fda5b9-5939-40dc-9ebf-83573229889a: direct link, hf CLI and curl.
- Browser
- Download file 501 MB
-
https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/adapter_model.safetensors
- Command line
-
hf download hf://error577/53fda5b9-5939-40dc-9ebf-83573229889a/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/error577/53fda5b9-5939-40dc-9ebf-83573229889a/resolve/main/adapter_model.safetensors
501 MB
- Xet hash:
- d4a256c075ebaa0851366766e943d93e89950eb116e0cdbd2e40db8d954eb024
- Size of remote file:
- 501 MB
- SHA256:
- c8209de3ef9bb59596fe12b1184b4b731591904a055332157c198247961a380c
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