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:
- adc2960a52b242970cc5a8c05354eb0c991101abe147b7586c10b5c4646b5af7
- Size of remote file:
- 3.06 kB
- SHA256:
- 534936abd14ed11d4069000d1ff03b02bb394a27ff8e24fa587dccbedf2157b4
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