Text Classification
Transformers
PyTorch
TensorBoard
data2vec-text
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/data2vec-text-base-finetuned-rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/data2vec-text-base-finetuned-rte with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/data2vec-text-base-finetuned-rte")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/data2vec-text-base-finetuned-rte") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/data2vec-text-base-finetuned-rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Align label mapping with rte config of glue dataset (#1)
- Align label mapping with rte config of glue dataset (0bb38d5667a1cc25f9cf29f3ab2bf93f517e66ea) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>2181346
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update model card README.md
ec0e0bb -
End of training
7201902 -
Training in progress, epoch 1
39e3696 -
initial commit
03d6ae3