Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use jayanta/bert-base-cased-sentweet-derogatory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jayanta/bert-base-cased-sentweet-derogatory with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jayanta/bert-base-cased-sentweet-derogatory")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jayanta/bert-base-cased-sentweet-derogatory") model = AutoModelForSequenceClassification.from_pretrained("jayanta/bert-base-cased-sentweet-derogatory") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
pytorch_model.bin
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runs/Jul21_20-09-12_teesta/events.out.tfevents.1689950373.teesta.24483.0
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