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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f87495c14426e1e94fb392f12d8a1490cde46c6109cea426b024e82f65a970df
- Size of remote file:
- 1.35 GB
- SHA256:
- bdf59a3d0e87a8a6c79a687b5e54369f54fe3a203ea728b00adfc417dd2be727
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