Instructions to use Sayan01/Bert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sayan01/Bert-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sayan01/Bert-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sayan01/Bert-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Sayan01/Bert-mrpc") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- 4.99 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 0 Bytes
- 6.04 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 8.3 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 40 Bytes xet
- 9.55 kB xet
- 9.55 kB xet
- 9.55 kB xet
- 5.14 kB xet
- 4.99 kB xet
- 4.31 kB xet
- 9.55 kB xet
- 409 Bytes xet
- 3.94 kB xet
- 4.1 kB xet