Instructions to use thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045 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, "thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045: direct link, hf CLI and curl.
- Browser
- Download file 604 MB
-
https://huggingface.co/thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045/resolve/d95145865ddb6d8c006e1d6f4313bbbdaa13777e/adapter_model.bin
- Command line
-
hf download hf://thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045@d95145865ddb6d8c006e1d6f4313bbbdaa13777e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/thaffggg/5e2d26c2-83d2-467b-b3e1-d240a0ac9045/resolve/d95145865ddb6d8c006e1d6f4313bbbdaa13777e/adapter_model.bin
604 MB
- Xet hash:
- 3aae04fd6980d9c582e18441851845b43c7b8f710dfd965315c931883c0ecef0
- Size of remote file:
- 604 MB
- SHA256:
- 99561f2eb4e2b901eb2369b4308b51b43b17ce217dff56959ef0a43a655e3bb3
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