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:
- 6dd5f2742520fc69f3babc729bfc901085fa6686ccc9a7ed53ade8366792fd9b
- Size of remote file:
- 876 MB
- SHA256:
- d9780b8b51e17e6bfee51a69ed7cda82f80782349fcb92d69861d35e7699ad33
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