Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
text-embeddings-inference
Instructions to use dipesh/Intent-Classification-Bert-Base-Cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dipesh/Intent-Classification-Bert-Base-Cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dipesh/Intent-Classification-Bert-Base-Cased")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("dipesh/Intent-Classification-Bert-Base-Cased") model = AutoModelForSequenceClassification.from_pretrained("dipesh/Intent-Classification-Bert-Base-Cased") - Notebooks
- Google Colab
- Kaggle
Delete tf_model.h5
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tf_model.h5
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