Instructions to use chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900 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, "chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900: direct link, hf CLI and curl.
- Browser
- Download file 37.5 kB
-
https://huggingface.co/chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/resolve/main/adapter_model.bin
- Command line
-
hf download hf://chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/chauhoang/7ffee866-c8fa-4d17-ab9e-07cbcbeca900/resolve/main/adapter_model.bin
37.5 kB
- Xet hash:
- c9ee27f41a310e7cb75544390983c01ce2e39235f44f94c45267947e133419d8
- Size of remote file:
- 37.5 kB
- SHA256:
- 8b8f9d3cc5f111a8ec6eb99e2a44cd23abc83743ea84f2f4994eb5a692ec3408
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