Instructions to use loahi25/roberta-sarcasm-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use loahi25/roberta-sarcasm-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="loahi25/roberta-sarcasm-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("loahi25/roberta-sarcasm-classifier") model = AutoModelForSequenceClassification.from_pretrained("loahi25/roberta-sarcasm-classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 393f0a16e41793c3e47f19f11cb787d42c92e6e9d8fcb46ca690afd2e0f231ee
- Size of remote file:
- 5.3 kB
- SHA256:
- 9b47748e1f2878e80313c8ff38e5b92db25e58b3e457c0717bb98e219b35707d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.