Text Classification
Transformers
PyTorch
TensorBoard
data2vec-text
Generated from Trainer
Eval Results (legacy)
Instructions to use mrm8488/data2vec-text-base-finetuned-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mrm8488/data2vec-text-base-finetuned-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mrm8488/data2vec-text-base-finetuned-mnli")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli") model = AutoModelForSequenceClassification.from_pretrained("mrm8488/data2vec-text-base-finetuned-mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Align label mapping with mnli config of glue dataset (#1)
- Align label mapping with mnli config of glue dataset (135049480d915d9129a6a6cac7c49c626adfe249) Co-authored-by: Lewis Tunstall <lewtun@users.noreply.huggingface.co>b0a6922
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update model card README.md
219587c -
End of training
1e5ecce -
Training in progress, epoch 1
de2fbc1 -
initial commit
2c8bc79