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
File size: 129 Bytes
d6db813 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:03bc2fda526e7e7f1ed8066f07a9129d009a4c38e68bebe52a3111e3eee3915f
size 3375
|