Instructions to use UVA-MSBA/Team11M4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use UVA-MSBA/Team11M4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="UVA-MSBA/Team11M4")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("UVA-MSBA/Team11M4") model = AutoModelForSequenceClassification.from_pretrained("UVA-MSBA/Team11M4") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): f5950dd
Upload DistilBertForSequenceClassification
Browse files- pytorch_model.bin +1 -1
pytorch_model.bin
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