Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jayavibhav/bert-classification-5ksamples with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayavibhav/bert-classification-5ksamples with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayavibhav/bert-classification-5ksamples")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayavibhav/bert-classification-5ksamples") model = AutoModelForSequenceClassification.from_pretrained("jayavibhav/bert-classification-5ksamples") - Notebooks
- Google Colab
- Kaggle
Commit ·
91de927
1
Parent(s): 25c16d4
End of training
Browse files
runs/Aug09_07-30-50_77073d7374c6/events.out.tfevents.1691566261.77073d7374c6.28.0
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