Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use TTian/bert-classifier-feedback-qa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TTian/bert-classifier-feedback-qa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="TTian/bert-classifier-feedback-qa")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("TTian/bert-classifier-feedback-qa") model = AutoModelForSequenceClassification.from_pretrained("TTian/bert-classifier-feedback-qa") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Nov03_19-14-43_a2e1ffba2f2f/events.out.tfevents.1667502893.a2e1ffba2f2f.3434.0
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