Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use KevinCai/banking77 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KevinCai/banking77 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="KevinCai/banking77")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("KevinCai/banking77") model = AutoModelForSequenceClassification.from_pretrained("KevinCai/banking77", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- effb280178078526d6e0a4284c246afcb82da0e5c171624eb6305731f86847fc
- Size of remote file:
- 5.37 kB
- SHA256:
- c247262653d8e47f12958b1e93ddff6bca4becea619d989354e6d8432bf55bd3
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