Text Classification
Transformers
PyTorch
Safetensors
English
distilbert
Generated from Trainer
finance
intent-classification
text-embeddings-inference
Instructions to use lxyuan/banking-intent-distilbert-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lxyuan/banking-intent-distilbert-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="lxyuan/banking-intent-distilbert-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("lxyuan/banking-intent-distilbert-classifier") model = AutoModelForSequenceClassification.from_pretrained("lxyuan/banking-intent-distilbert-classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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oid sha256:407eb6e6b65e665bc37db3a37b350aec40d43a095476c98b6166e71d6e1a1a0f
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size 268063276
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