Instructions to use AnonymousCS/antielite_classifier_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AnonymousCS/antielite_classifier_all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="AnonymousCS/antielite_classifier_all")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("AnonymousCS/antielite_classifier_all") model = AutoModelForSequenceClassification.from_pretrained("AnonymousCS/antielite_classifier_all", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f2cecdb314050343ea5c9a6213841f2d2a60e530880c2c0f10b5276d7c78857
- Size of remote file:
- 5.27 kB
- SHA256:
- abba967dc119a98f20bb08f70ac2d91c5d2e117af94fad74bdb54dd11961a9db
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