Instructions to use certainstar/Trained-English-classification-uncase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use certainstar/Trained-English-classification-uncase with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="certainstar/Trained-English-classification-uncase")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-English-classification-uncase") model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-English-classification-uncase", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01f79d554a1ba567d5e744ebe7ea6160db509173a91e68e6d9493185d4c63f94
- Size of remote file:
- 1.06 kB
- SHA256:
- 46771f4187a1f7ac7feb66e2a691bff939803d481ac434f77c3d0df884f076d9
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