Instructions to use aswinsson/fake_new_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aswinsson/fake_new_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aswinsson/fake_new_classifier")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aswinsson/fake_new_classifier") model = AutoModelForSequenceClassification.from_pretrained("aswinsson/fake_new_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from aswinsson/fake_new_classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.06 kB
-
https://huggingface.co/aswinsson/fake_new_classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://aswinsson/fake_new_classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/aswinsson/fake_new_classifier/resolve/main/training_args.bin
3.06 kB
- Xet hash:
- f23eebbb07c4d36675279d50b2ad3f0f49875711dacf7814199668df2b1284e0
- Size of remote file:
- 3.06 kB
- SHA256:
- 865c54c13de4de32f7dd35f91bb9db532057a8a5784b1cd89c9e6eba2ced069f
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