Instructions to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("TucanoBR/Tucano-2b4-Instruct") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16: direct link, hf CLI and curl.
- Browser
- Download file 5.78 kB
-
https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16/resolve/main/training_args.bin
- Command line
-
hf download hf://kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C1-essay_only-r16/resolve/main/training_args.bin
5.78 kB
- Xet hash:
- 42ee9b5de4d6ac823ce3246c0aa24e2ad4438e578b443f4c0b82075df8ea4e6b
- Size of remote file:
- 5.78 kB
- SHA256:
- cd7f75330472822b2554d286c67d228c30482b6273eaeaacffa153c3dfecc690
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