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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9318bc9c197c6cc014b33f9c4aef9b4c103faa0c433bfe3d518edcfb81ea206f
- Size of remote file:
- 4.54 kB
- SHA256:
- 79531b7222a63f33a59ddd0cdcbd0819f8b52a5b4a5e8883fe97e9d8c5807809
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