Instructions to use filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e 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, "filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e") - Notebooks
- Google Colab
- Kaggle
Download adapter_model.bin from filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e: direct link, hf CLI and curl.
- Browser
- Download file 162 MB
-
https://huggingface.co/filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e/resolve/main/adapter_model.bin
- Command line
-
hf download hf://filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e/adapter_model.bin
-
curl -L -o adapter_model.bin https://huggingface.co/filipesantoscv11/2241d091-90ab-41a5-bb53-e990f6c1367e/resolve/main/adapter_model.bin
162 MB
- Xet hash:
- dde310a2c58a15d4f2a519b149670f77580be023aa9d50cd1f472a74580993ff
- Size of remote file:
- 162 MB
- SHA256:
- 6c669328590a9a5b272a4a55101c515041109f5580d74cdc443b0a2fa61b2cb0
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