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:
- f00bf82cc468c4bad6d29c818fedfb98ffa6dcd78d9698ab1c945b1c4631e9cb
- Size of remote file:
- 1.06 kB
- SHA256:
- eb0eb64b0cf1fc29f9af25eb6aedd4e4f9fc5bc06371f18e529e649c391be96a
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