Instructions to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained(base_model, "prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d: direct link, hf CLI and curl.
- Browser
- Download file 202 MB
-
https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5608/2bdb490c-a538-4890-95be-985b5a34cc6d/resolve/main/adapter_model.bin
202 MB
- Xet hash:
- 1a5f1ecc58d540b6ba1f593f291813221aa48092d8cdef8ab60e80d686d48940
- Size of remote file:
- 202 MB
- SHA256:
- a00e456cdeb9d97443af117426854e293851a965cb3dc765c6ee666c05b191e2
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