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:
- d7dd0e1f92a65b8b941816b7207611e7fc874b33f9232cff162cf00531a291d0
- Size of remote file:
- 4.66 kB
- SHA256:
- 97515eaa596c1259df8da372577f8444c126856d2334b3f90d539244c52eb51c
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