Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use bradmin/reward-bert-duplicate-answer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-bert-duplicate-answer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-bert-duplicate-answer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-bert-duplicate-answer") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-bert-duplicate-answer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b509d0bdd50301c747d159449efe0542f4bc0b1ff9a2efbe208de5ef8601fbe1
- Size of remote file:
- 1.06 kB
- SHA256:
- c841fb02172bb27ae70a1e45eae364586e59bd3e03cbcd7042d9d1f9860020ce
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