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
Commit ·
d8e658f
1
Parent(s): 7f3556c
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (39a3a226e46f14fa05750ae9f468f3b940e9d2d3)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:06cac3b97d128a0f8c1c5608b6f4a7d93bb345bc7ada3576b4a87f813974863b
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size 333822200
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