Instructions to use UVA-MSBA/M4T2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UVA-MSBA/M4T2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UVA-MSBA/M4T2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UVA-MSBA/M4T2") model = AutoModelForSequenceClassification.from_pretrained("UVA-MSBA/M4T2") - Notebooks
- Google Colab
- Kaggle
Commit History
Upload DistilBertForSequenceClassification 8188a85
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Upload tokenizer dd0b8e7
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initial commit c7572d3
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