Text Classification
Transformers
PyTorch
TensorBoard
distilbert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use autoevaluate/natural-language-inference with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/natural-language-inference with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="autoevaluate/natural-language-inference")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("autoevaluate/natural-language-inference") model = AutoModelForSequenceClassification.from_pretrained("autoevaluate/natural-language-inference", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the mrpc config and validation split of glue
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the mrpc config and validation split of the [glue](https://huggingface.co/datasets/glue) dataset by @lewtun, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-staging-eval-project-03e83e3b-2528-4e84-b075-34edd28549da-5755).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=glue).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue).f7dfa5e
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Update config.json (#2)
- Update config.json (bea1849a315205cfa5400479fd63ba0c7eacdc5d)549705c -
update model card README.md
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End of training
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Training in progress, epoch 1
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initial commit
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