Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use bradmin/reward-bert-duplicate-answer-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bradmin/reward-bert-duplicate-answer-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bradmin/reward-bert-duplicate-answer-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bradmin/reward-bert-duplicate-answer-2") model = AutoModelForSequenceClassification.from_pretrained("bradmin/reward-bert-duplicate-answer-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 24cbe816edaf2474c2b6fbbfdc91d82123c721fb51b747613f9da4bbc19ee2a6
- Size of remote file:
- 4.66 kB
- SHA256:
- 07f99f663c4ba2a3b963d493c74f26ce85cf1e5256a52a7c4a58a8a184a4d1ef
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