Instructions to use kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r8 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-r8 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-r8") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8d823cf200719cdf27971e528ce6b88d23a1673f5dea3a46b329fffc7d292c8c
- Size of remote file:
- 5.78 kB
- SHA256:
- e6b925443e17832bc4255c0ba74e7a300e7851666041343222e94ac4eaf34d5a
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