Text Classification
Transformers
PyTorch
Safetensors
roberta
Generated from Trainer
text-embeddings-inference
Instructions to use ejschwartz/oo-method-test-model-bylibrary with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ejschwartz/oo-method-test-model-bylibrary with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ejschwartz/oo-method-test-model-bylibrary")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ejschwartz/oo-method-test-model-bylibrary") model = AutoModelForSequenceClassification.from_pretrained("ejschwartz/oo-method-test-model-bylibrary") - Notebooks
- Google Colab
- Kaggle
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metrics:
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model-index:
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- name: oo-method-test-model-bylibrary
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results: []
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datasets:
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widget:
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metrics:
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- accuracy
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datasets:
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- ejschwartz/oo-method-test-split
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widget:
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