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")# pip install -U transformers accelerate # 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
Download training_args.bin from lxyuan/banking-intent-distilbert-classifier: direct link, hf CLI and curl.
- Browser
- Download file 3.95 kB
-
https://huggingface.co/lxyuan/banking-intent-distilbert-classifier/resolve/main/training_args.bin
- Command line
-
hf download hf://lxyuan/banking-intent-distilbert-classifier/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/lxyuan/banking-intent-distilbert-classifier/resolve/main/training_args.bin
3.95 kB
- Xet hash:
- 9469fc0c627b93d46ba7d28ef5c360f24c6f93e54805faea0767ffe5858507db
- Size of remote file:
- 3.95 kB
- SHA256:
- b5949a81cbaa012abdb63645c5b68aeb0fc2bc3294880f1c3429b34fb249e5f8
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