Text Classification
Transformers
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use valurank/distilroberta-patch-news-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valurank/distilroberta-patch-news-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="valurank/distilroberta-patch-news-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valurank/distilroberta-patch-news-classification") model = AutoModelForSequenceClassification.from_pretrained("valurank/distilroberta-patch-news-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d12af89752f931371a7320fbdf73feb20b06ba7db889b4b9318f01e658a23d8f
- Size of remote file:
- 5.37 kB
- SHA256:
- f94f9602dd4aab96215547f016b0f1cab5a23d94ff97e75ce942e44b6646a727
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