Instructions to use IIIT-L/roberta-large-finetuned-ours-DS with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IIIT-L/roberta-large-finetuned-ours-DS with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="IIIT-L/roberta-large-finetuned-ours-DS")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("IIIT-L/roberta-large-finetuned-ours-DS") model = AutoModelForSequenceClassification.from_pretrained("IIIT-L/roberta-large-finetuned-ours-DS", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f53edf92a7bcc4ffe77d156d203857447cb1268b6b18cbb98ecf606bdf9dd11a
- Size of remote file:
- 1.42 GB
- SHA256:
- 2ed9b8f176af6ad174580fea41c536676799ef7bda2f734bdd97d02bbf47e378
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