Instructions to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2-7B-Instruct") model = PeftModel.from_pretrained(base_model, "prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/optimizer.pt from prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908: direct link, hf CLI and curl.
- Browser
- Download file 328 MB
-
https://huggingface.co/prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908/resolve/7b5db9ee0c4b7a37b35048ada4f52480fd470c19/last-checkpoint/optimizer.pt
- Command line
-
hf download hf://prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908@7b5db9ee0c4b7a37b35048ada4f52480fd470c19/last-checkpoint/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/prxy5608/baa9b3e9-6814-4768-b4bc-00f064231908/resolve/7b5db9ee0c4b7a37b35048ada4f52480fd470c19/last-checkpoint/optimizer.pt
328 MB
- Xet hash:
- 88a9a4c3d879b1a23a31f47a26d9d12e873b56bd758f6df3e77baeca387796a3
- Size of remote file:
- 328 MB
- SHA256:
- 8f61ffc4637b5b379a678e40e8128842cb9c0afcf9b427f2a647c084eb33949c
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