Instructions to use saroyehun/CAP_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saroyehun/CAP_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="saroyehun/CAP_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("saroyehun/CAP_classifier") model = AutoModelForSequenceClassification.from_pretrained("saroyehun/CAP_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97815cb910a98e6cc8eed236b91689ee4fb064e25b6e9fe8fbbf6a2df4137147
- Size of remote file:
- 997 MB
- SHA256:
- 336c2ca3c85c661e4042e0bc54656b13cc53772aa6d5d1e47ba19bf14828394d
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