Instructions to use tminhtri1910/bert-mrpc-analysis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tminhtri1910/bert-mrpc-analysis with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="tminhtri1910/bert-mrpc-analysis")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("tminhtri1910/bert-mrpc-analysis") model = AutoModelForSequenceClassification.from_pretrained("tminhtri1910/bert-mrpc-analysis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
End of training
Verified signaturea48bc10 -
Training in progress, step 690
Verified signatureff23386 -
Training in progress, step 600
Verified signaturef9e17ae -
Training in progress, step 500
Verified signature9b9c96e -
Training in progress, step 400
Verified signature66b3adf -
Training in progress, step 300
Verified signature3f88976 -
Training in progress, step 200
Verified signature18b35c8 -
Training in progress, step 100
Verified signatureddc9d36 -
initial commit
Verified signature0fab2fc