Text Classification
Transformers
Safetensors
English
bert
Generated from Trainer
economics
finance
text-embeddings-inference
Instructions to use samchain/EconoDetect-US with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use samchain/EconoDetect-US with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="samchain/EconoDetect-US")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("samchain/EconoDetect-US") model = AutoModelForSequenceClassification.from_pretrained("samchain/EconoDetect-US") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c93ac03379cb42ed56ec17cba38d2d69f504ae98dd5e2cb0dd48377dd5ba23e6
- Size of remote file:
- 5.3 kB
- SHA256:
- 833835ad9024b5222196eb12d72c0958122739a8dfaef54cfd01cd77e7f6eeaa
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