Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking") model = AutoModelForSequenceClassification.from_pretrained("fathyshalab/bert-uncased-massive-intent-classification-finetuned-banking") - Notebooks
- Google Colab
- Kaggle