Instructions to use leetdavid/example_workflow_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leetdavid/example_workflow_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="leetdavid/example_workflow_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leetdavid/example_workflow_model") model = AutoModelForSequenceClassification.from_pretrained("leetdavid/example_workflow_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (f3da2bdf6ca64ff50bdf2d9d671f2ab9e6c92553) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>bcae36f
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add model
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initial commit
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