Text Classification
Transformers
Safetensors
English
bert
AI
Sentiment
Finance
Central Bank
BIS
Transformers
Domain Adaptation
text-embeddings-inference
Instructions to use bilalzafar/CentralBank-AI-Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bilalzafar/CentralBank-AI-Classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="bilalzafar/CentralBank-AI-Classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("bilalzafar/CentralBank-AI-Classifier") model = AutoModelForSequenceClassification.from_pretrained("bilalzafar/CentralBank-AI-Classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1cab32fffbb4605301efb43cefa56ec85c69a3655655ed1b62d8000a74e6e194
- Size of remote file:
- 5.91 kB
- SHA256:
- 07c52727bc337d669ac4349f64e16f7f9a591018ce540953429ef2418069e2da
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