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
- Xet hash:
- 646c61d8960935b4445d6d0e9e008bcb5db62586e12e227698b65bf11624d556
- Size of remote file:
- 334 MB
- SHA256:
- 06cac3b97d128a0f8c1c5608b6f4a7d93bb345bc7ada3576b4a87f813974863b
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