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:
- 89e12c835b2ce45607ddce59c88b545f1be6c06b7f16b406f0128f70352886fb
- Size of remote file:
- 3.31 kB
- SHA256:
- 966758d2b2f0e777f8f11aff602b9b4722efd74c9f59b37331b2c01ff0d2eae3
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