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 tokenizer.json from kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16: direct link, hf CLI and curl.
- Browser
- Download file 2.26 MB
-
https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16/resolve/99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/tokenizer.json
- Command line
-
hf download hf://kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16@99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/kamel-usp/jbcs2025_Tucano-2b4-Instruct-tucano_classification_lora-C4-full_context-r16/resolve/99f1e75c68c52c9ee5dd4fe3fa43ae6b9bcd8c7d/tokenizer.json
2.26 MB
File too large to display, you can check the raw version instead.