Instructions to use certainstar/Trained-English-classification-case with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use certainstar/Trained-English-classification-case with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="certainstar/Trained-English-classification-case")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("certainstar/Trained-English-classification-case") model = AutoModelForSequenceClassification.from_pretrained("certainstar/Trained-English-classification-case", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c9eed5d2bea764f2350012ca9813f74345f48c8b48086b69348930a618595ac0
- Size of remote file:
- 4.98 kB
- SHA256:
- facd0955eff232fdd93c4b50b52e66a804de2814fc50eba14e5ddc14fde2bfdc
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