Text Classification
Transformers
PyTorch
Safetensors
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use optimum/distilbert-base-uncased-finetuned-banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use optimum/distilbert-base-uncased-finetuned-banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="optimum/distilbert-base-uncased-finetuned-banking77")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("optimum/distilbert-base-uncased-finetuned-banking77") model = AutoModelForSequenceClassification.from_pretrained("optimum/distilbert-base-uncased-finetuned-banking77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#4 opened over 3 years ago
by
SFconvertbot
Adding ONNX file of this model
#2 opened almost 4 years ago
by
fxmartyclone