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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- adac83195996196f012896571fac2788bf5527b2ccb2040989f2ede52a67f91e
- Size of remote file:
- 501 MB
- SHA256:
- 5f940e4ab94a666e566429b9dd96e2163b89878f86e5cb0c8b9b2442550748f9
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