Text Classification
Transformers
Safetensors
PyTorch
English
distilbert
sarcasm
reddit
text-embeddings-inference
Instructions to use tmrcnl/SarcasmRewardModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tmrcnl/SarcasmRewardModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tmrcnl/SarcasmRewardModel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tmrcnl/SarcasmRewardModel") model = AutoModelForSequenceClassification.from_pretrained("tmrcnl/SarcasmRewardModel", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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DistilBertForSequenceClassification fine-tuned on sarcasm-on-reddit training data.
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---
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language:
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- en
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pipeline_tag: text-classification
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base_model: DistilBertForSequenceClassification
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tags:
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- sarcasm
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- reddit
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- transformers
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- pytorch
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license: apache-2.0
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---
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DistilBertForSequenceClassification fine-tuned on sarcasm-on-reddit training data.
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