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
Upload StrataBERT diagnostic checkpoint
Browse files
README.md
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# stratabert-tiny-smoke
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## Model Summary
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---
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language:
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- en
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license: mit
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library_name: transformers
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tags:
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- text-classification
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- diagnostic
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- long-context
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- custom-code
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datasets:
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- ag_news
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pipeline_tag: text-classification
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---
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# stratabert-tiny-smoke
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## Model Summary
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