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
reward-bert-duplicate-answer / runs /Nov03_15-42-54_job-run-bb8c78f2-84b7-49b7-ab6a-600ce7092573-master-0 /events.out.tfevents.1699026178.job-run-bb8c78f2-84b7-49b7-ab6a-600ce7092573-master-0.1.0
- Xet hash:
- a62f2c2962ff389bbc7cadab5437bd2efb65fa1ab5493e3a5dad4c79baea88f5
- Size of remote file:
- 19.4 kB
- SHA256:
- f33a0af16074393379e4e83f998a4e2168047a59b3adc9d42eea7b57a48ce097
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