Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sphere-Fall2022/nima-test-bert-glue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sphere-Fall2022/nima-test-bert-glue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sphere-Fall2022/nima-test-bert-glue")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sphere-Fall2022/nima-test-bert-glue") model = AutoModelForSequenceClassification.from_pretrained("Sphere-Fall2022/nima-test-bert-glue", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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update model card README.md
Nima Boscarinof8094d4 -
End of training
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Training in progress, epoch 1
Nima Boscarinod6db813 -
initial commit
Nima Boscarino3a0988f