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:
- cac50f77655f19aa28e543a22aada0020ceb820796743017799018f6ccfce4e5
- Size of remote file:
- 2.69 GB
- SHA256:
- 12d6faafd1c10cc8cc919937cdc671bddba652e4a66d1f82424dac05b1a71b4b
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