Text Classification
Transformers
PyTorch
Safetensors
English
roberta
situation-entities
discourse-modes
clause-classification
narrativity
argumentation
text-embeddings-inference
Instructions to use BabakScrapes/disco-se-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BabakScrapes/disco-se-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="BabakScrapes/disco-se-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("BabakScrapes/disco-se-classifier") model = AutoModelForSequenceClassification.from_pretrained("BabakScrapes/disco-se-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f67902b20b2a1dc05285cd1ba6f335b7757ed7a690c15eb6fe7073ad4e4c6da
- Size of remote file:
- 3.45 kB
- SHA256:
- 3d55a2fbf59a2f7b6d32bb381de952dcb0e272397357927baea76deec7684f72
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