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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("leetdavid/example_workflow_model") model = AutoModelForSequenceClassification.from_pretrained("leetdavid/example_workflow_model") - Notebooks
- Google Colab
- Kaggle
Commit ·
bcae36f
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Parent(s): 4e9f9c3
Librarian Bot: Add base_model information to model (#1)
Browse files- Librarian Bot: Add base_model information to model (f3da2bdf6ca64ff50bdf2d9d671f2ab9e6c92553)
Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>
README.md
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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model-index:
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- name: example_workflow_model
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results: []
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license: apache-2.0
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tags:
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- generated_from_keras_callback
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base_model: hfl/chinese-roberta-wwm-ext
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model-index:
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- name: example_workflow_model
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results: []
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