Instructions to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Nous-Capybara-7B-V1") model = PeftModel.from_pretrained(base_model, "vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110: direct link, hf CLI and curl.
- Browser
- Download file 684 MB
-
https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/main/adapter_model.bin
- Command line
-
hf download hf://vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/main/adapter_model.bin
684 MB
- Xet hash:
- 66c56dacbcdd6a003475c85c9fc2cc9c2bbbdedcc7eb0a69bf2dcb3574ffbd99
- Size of remote file:
- 684 MB
- SHA256:
- e089d96e97212bdd7e9d8fd0852b628968801e5367ade375d44a209f7da13e9b
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