Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Tristan/distilbert_summarization_reward_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tristan/distilbert_summarization_reward_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Tristan/distilbert_summarization_reward_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Tristan/distilbert_summarization_reward_model") model = AutoModelForSequenceClassification.from_pretrained("Tristan/distilbert_summarization_reward_model") - Notebooks
- Google Colab
- Kaggle
Commit History
update model card README.md cb504ab
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initial commit d6c8659
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