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") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("tmrcnl/SarcasmRewardModel")
model = AutoModelForSequenceClassification.from_pretrained("tmrcnl/SarcasmRewardModel")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tmrcnl/SarcasmRewardModel")