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.safetensors 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.safetensors
- Command line
-
hf download hf://vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/vertings6/7a4d843e-9dc7-414d-966b-e2e0ed141110/resolve/main/adapter_model.safetensors
684 MB
- Xet hash:
- 6348e802aecde80057b15cc17af93dad95a808c4257cc4990cfa6bdf38f59292
- Size of remote file:
- 684 MB
- SHA256:
- a32cd6c47eb6e0dc2947cac074362fe610974fe3639cc1395e9a4dcd2c4791ee
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