Instructions to use 1-lock/64a591c1-0af9-4292-9e18-4a52755c506b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use 1-lock/64a591c1-0af9-4292-9e18-4a52755c506b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("NousResearch/Yarn-Mistral-7b-64k") model = PeftModel.from_pretrained(base_model, "1-lock/64a591c1-0af9-4292-9e18-4a52755c506b") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.safetensors from 1-lock/64a591c1-0af9-4292-9e18-4a52755c506b: direct link, hf CLI and curl.
- Browser
- Download file 336 MB
-
https://huggingface.co/1-lock/64a591c1-0af9-4292-9e18-4a52755c506b/resolve/569d8d26c27d6cdc89aed8c3c2aaa35e248f1ddc/adapter_model.safetensors
- Command line
-
hf download hf://1-lock/64a591c1-0af9-4292-9e18-4a52755c506b@569d8d26c27d6cdc89aed8c3c2aaa35e248f1ddc/adapter_model.safetensors
-
curl -L -o adapter_model.safetensors https://huggingface.co/1-lock/64a591c1-0af9-4292-9e18-4a52755c506b/resolve/569d8d26c27d6cdc89aed8c3c2aaa35e248f1ddc/adapter_model.safetensors
336 MB
- Xet hash:
- dd26e17f4b73c04a8ecfa7a9bb3f75cbc9e0d4cec092177696eb7f4c79a77121
- Size of remote file:
- 336 MB
- SHA256:
- 407a17f341eddb58b7c22e984342aefd467b5a7f025a7605690f782ff24f5948
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