Instructions to use laquythang/867992f3-3c66-4d20-99e7-44183781331e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use laquythang/867992f3-3c66-4d20-99e7-44183781331e with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/SmolLM2-135M") model = PeftModel.from_pretrained(base_model, "laquythang/867992f3-3c66-4d20-99e7-44183781331e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from laquythang/867992f3-3c66-4d20-99e7-44183781331e: direct link, hf CLI and curl.
- Browser
- Download file 9.92 MB
-
https://huggingface.co/laquythang/867992f3-3c66-4d20-99e7-44183781331e/resolve/4720e6357da0ee5042076f5df3fe4d91c2f40a7f/adapter_model.bin
- Command line
-
hf download hf://laquythang/867992f3-3c66-4d20-99e7-44183781331e@4720e6357da0ee5042076f5df3fe4d91c2f40a7f/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/laquythang/867992f3-3c66-4d20-99e7-44183781331e/resolve/4720e6357da0ee5042076f5df3fe4d91c2f40a7f/adapter_model.bin
9.92 MB
- Xet hash:
- adc7be52cc43eeed99388b25958353f33de1c3c06e7b17e2ac0fae9e4885df97
- Size of remote file:
- 9.92 MB
- SHA256:
- 6c8cf3dbd9364d95fcade31745b642d95db0808e1bd18fa6d76f8f8fd4fa5b35
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