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")# 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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b470a4807bbc4dff599eac79ed61ad01ff11640e96522baa1fbf122f96e2f642
- Size of remote file:
- 3.38 kB
- SHA256:
- 03bc2fda526e7e7f1ed8066f07a9129d009a4c38e68bebe52a3111e3eee3915f
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