Instructions to use cc-platform-links/roberta-tiny-10-wat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cc-platform-links/roberta-tiny-10-wat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="cc-platform-links/roberta-tiny-10-wat")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("cc-platform-links/roberta-tiny-10-wat") model = AutoModelForSequenceClassification.from_pretrained("cc-platform-links/roberta-tiny-10-wat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a86df7f979b7f9d5b76f96596a402c2c9a9959383e8abfc6db8d1d9b560226c0
- Size of remote file:
- 112 MB
- SHA256:
- 683cf5da701fa42585bcdb4c719ff4dd4223099aad98d4b5f16acffc645173dc
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