Instructions to use dklpp/llama3_ft_section_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use dklpp/llama3_ft_section_classifier with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "dklpp/llama3_ft_section_classifier") - Transformers
How to use dklpp/llama3_ft_section_classifier with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dklpp/llama3_ft_section_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7fb15110fa41db9c12e24d1a5b6afbef7168b4aa35720658b73b196a1cc2e6b1
- Size of remote file:
- 5.91 kB
- SHA256:
- 1c81e5e20762049285a252595c620bb4a9a79ab552679900735e30e370ad73d5
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