Instructions to use titanhacker/sequence_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use titanhacker/sequence_classification with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("meta-llama/Llama-3.2-1B") model = PeftModel.from_pretrained(base_model, "titanhacker/sequence_classification") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from titanhacker/sequence_classification: direct link, hf CLI and curl.
- Browser
- Download file 5.37 kB
-
https://huggingface.co/titanhacker/sequence_classification/resolve/main/training_args.bin
- Command line
-
hf download hf://titanhacker/sequence_classification/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/titanhacker/sequence_classification/resolve/main/training_args.bin
5.37 kB
- Xet hash:
- e8bd4f8b995f60d4f8fa70ca2b06d6fc316080efbb1d9ad2cf567b8eb94cf2fd
- Size of remote file:
- 5.37 kB
- SHA256:
- f1f3b763d51b30fb9cae424c53d891c881442ea3ad3845e9cfdd9a1736611f23
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