Text Classification
Transformers
Safetensors
English
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use anonymous813ker/sarcasm-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anonymous813ker/sarcasm-detector with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="anonymous813ker/sarcasm-detector")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("anonymous813ker/sarcasm-detector") model = AutoModelForSequenceClassification.from_pretrained("anonymous813ker/sarcasm-detector") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3ae2114f96841b0f63611c4b1554eaf154bc3621df448495204cddd0bdbbe944
- Size of remote file:
- 5.2 kB
- SHA256:
- 0ef9c18f388e275cb58869f213db3b42fc024704ffc4911c296564b299bc6365
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