Text Classification
Transformers
TensorFlow
roberta
generated_from_keras_callback
text-embeddings-inference
Instructions to use nathanReitinger/mlcb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nathanReitinger/mlcb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="nathanReitinger/mlcb")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("nathanReitinger/mlcb") model = AutoModelForSequenceClassification.from_pretrained("nathanReitinger/mlcb") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): a2bab59
Update README.md
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README.md
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example_title: "Canvas Fingerprinting Canonical Example"
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inference:
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parameters:
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use_cache: false
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max_length: 512
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wait_for_model: true
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temperature: 0
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example_title: "Canvas Fingerprinting Canonical Example"
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inference:
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parameters:
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max_length: 512
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wait_for_model: true
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temperature: 0
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