Text Classification
Transformers
PyTorch
Safetensors
deberta-v2
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use w11wo/deberta-v3-small-isarcasm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use w11wo/deberta-v3-small-isarcasm with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="w11wo/deberta-v3-small-isarcasm")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("w11wo/deberta-v3-small-isarcasm") model = AutoModelForSequenceClassification.from_pretrained("w11wo/deberta-v3-small-isarcasm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from w11wo/deberta-v3-small-isarcasm: direct link, hf CLI and curl.
- Browser
- Download file 568 MB
-
https://huggingface.co/w11wo/deberta-v3-small-isarcasm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://w11wo/deberta-v3-small-isarcasm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/w11wo/deberta-v3-small-isarcasm/resolve/main/pytorch_model.bin
568 MB
- Xet hash:
- eda3f2361808812a6f45cbc7dff95c98a4914a66db7e066cd742842571423654
- Size of remote file:
- 568 MB
- SHA256:
- 5a44d2f9e5998498f8f08457a9fd8f2519bb20c67cbf66ee9977467488db55d0
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