Instructions to use alex2awesome/quote-type-prediction__basic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alex2awesome/quote-type-prediction__basic with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="alex2awesome/quote-type-prediction__basic")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("alex2awesome/quote-type-prediction__basic") model = AutoModelForSequenceClassification.from_pretrained("alex2awesome/quote-type-prediction__basic") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4660e138a59e6897ab44825fb7a8e77a5680d82a876c709ba367d2eb84b479bb
- Size of remote file:
- 4.73 kB
- SHA256:
- ebd96a87f6ea8cb4b9067f99fa288c2401138faa9da7097c470093e09fa8d196
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