Text Classification
Transformers
PyTorch
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use w11wo/roberta-base-isarcasm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/roberta-base-isarcasm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="w11wo/roberta-base-isarcasm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("w11wo/roberta-base-isarcasm") model = AutoModelForSequenceClassification.from_pretrained("w11wo/roberta-base-isarcasm") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ac197035020f3f99835fc2a386ddbd2ab21d18033893465195e733a180333658
- Size of remote file:
- 499 MB
- SHA256:
- c5cc3b6d6be97b85e13a87bfa28ad46242aa069431d878c1fd5c8f1f045e7db8
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