Instructions to use ThuyNT03/CS505-Classifier-T4_predictLabel_a1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThuyNT03/CS505-Classifier-T4_predictLabel_a1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThuyNT03/CS505-Classifier-T4_predictLabel_a1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThuyNT03/CS505-Classifier-T4_predictLabel_a1") model = AutoModelForSequenceClassification.from_pretrained("ThuyNT03/CS505-Classifier-T4_predictLabel_a1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ThuyNT03/CS505-Classifier-T4_predictLabel_a1: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/ThuyNT03/CS505-Classifier-T4_predictLabel_a1/resolve/main/training_args.bin
- Command line
-
hf download hf://ThuyNT03/CS505-Classifier-T4_predictLabel_a1/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ThuyNT03/CS505-Classifier-T4_predictLabel_a1/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- b6600666596ad0f80ba81cfc976cd9882efd5fb165dadbfc705fce36c35a53fc
- Size of remote file:
- 4.92 kB
- SHA256:
- 0e244023d5e2af9c97c78d0f1dda3d511d8a80db4d98a0274e1d816c753bf17b
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