Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use RayK/distilbert-base-uncased-finetuned-cola with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RayK/distilbert-base-uncased-finetuned-cola with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="RayK/distilbert-base-uncased-finetuned-cola")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("RayK/distilbert-base-uncased-finetuned-cola") model = AutoModelForSequenceClassification.from_pretrained("RayK/distilbert-base-uncased-finetuned-cola") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2 opened 11 months ago
by
SFconvertbot
Align label mapping with cola config of glue dataset
#1 opened almost 4 years ago
by
lewtun