Instructions to use vslaykovsky/roberta-news-duplicates with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vslaykovsky/roberta-news-duplicates with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="vslaykovsky/roberta-news-duplicates")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("vslaykovsky/roberta-news-duplicates") model = AutoModelForSequenceClassification.from_pretrained("vslaykovsky/roberta-news-duplicates", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27a5ea1c387a0890b7e2359ee00d36acafd0d10d72544a5dcd3b275a71bab336
- Size of remote file:
- 499 MB
- SHA256:
- ee5468a41c2b5a7d50cc0f6535e9000f48546b8cce866a699b5d148a9a04e46d
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