Instructions to use NTUYG/DeepSCC-RoBERTa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NTUYG/DeepSCC-RoBERTa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NTUYG/DeepSCC-RoBERTa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NTUYG/DeepSCC-RoBERTa") model = AutoModelForSequenceClassification.from_pretrained("NTUYG/DeepSCC-RoBERTa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f6684e6b646188375f98e7e12f4ff10c7aaaf2272f918d92bb4c38e53a8b3461
- Size of remote file:
- 499 MB
- SHA256:
- 26bbe1922aacc201ebf7cf691366fe6e559cbdfcef5f279716c6ea9d6e7f3e27
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