Instructions to use prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("echarlaix/tiny-random-mistral") model = PeftModel.from_pretrained(base_model, "prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46: direct link, hf CLI and curl.
- Browser
- Download file 231 kB
-
https://huggingface.co/prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46/resolve/main/adapter_model.bin
- Command line
-
hf download hf://prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/prxy5608/4ef79c4b-1cb0-4b2a-9f4a-f48b5fe2ab46/resolve/main/adapter_model.bin
231 kB
- Xet hash:
- 3358f478ae68bfd3c80d827409cb5e5bf7da7626fbb8004453bfe08a4211129e
- Size of remote file:
- 231 kB
- SHA256:
- 391eb62c699b553a9b3708f0a3af76e98eb9f48dd4ad8f644a65a39c4b32fc1a
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