Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use autoevaluate/glue-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/glue-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autoevaluate/glue-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autoevaluate/glue-mnli") model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/glue-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Align label mapping with mnli config of glue dataset
Hi there, your model is using a default label mapping. Accept this PR to align the label mapping with the `mnli` config of the `glue` dataset this model was trained on. This will enable your model to be evaluated by [Hugging Face's automatic model evaluator](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue)c172fd9
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update model card README.md
ecdebd5 -
End of training
62c04a0 -
Training in progress, epoch 1
aa440c4 -
initial commit
205c5d2