Text Classification
Transformers
PyTorch
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use Sphere-Fall2022/mmi-test-bert-glue with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sphere-Fall2022/mmi-test-bert-glue with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sphere-Fall2022/mmi-test-bert-glue")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sphere-Fall2022/mmi-test-bert-glue") model = AutoModelForSequenceClassification.from_pretrained("Sphere-Fall2022/mmi-test-bert-glue") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89c79a53343ece515bc88521f00fcb1c750850a04132fa9ac5b06fde20fe967b
- Size of remote file:
- 268 MB
- SHA256:
- d1ac0d8fa842c1c8f0eabf73ba94c0272c75500e0903526e2e87f0ad583a07a7
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