Text Classification
Transformers
ONNX
Safetensors
English
stratabert
diagnostic
long-context
custom-code
custom_code
Instructions to use dplotnikov/stratabert-tiny-ag-news-smoke with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dplotnikov/stratabert-tiny-ag-news-smoke with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("dplotnikov/stratabert-tiny-ag-news-smoke", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- de5204fa465fa37d07d99ed9935195c2013ef3f87ea68d4f06684e983ac80b7f
- Size of remote file:
- 10.5 MB
- SHA256:
- 8adee9564db2928847ee5982476e4f2ffd029edb22aa36af0d2d977f1fff72de
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