Instructions to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-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-C4-full_context-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-C4-full_context-r16") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-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-C4-full_context-r16/resolve/99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/training_args.bin
- Command line
-
hf download hf://kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16@99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16/resolve/99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/training_args.bin
5.78 kB
- Xet hash:
- fa213d1598b5aec56edfc9f7a9b46acf34711a8a470467a0e904b742f87fd7f0
- Size of remote file:
- 5.78 kB
- SHA256:
- 36e90b1da38fcb33cefccffde5a79565b9c56d68830b2eab2a0e95499897c629
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