Instructions to use NDugar/finetuned-bert-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NDugar/finetuned-bert-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NDugar/finetuned-bert-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NDugar/finetuned-bert-mrpc") model = AutoModelForSequenceClassification.from_pretrained("NDugar/finetuned-bert-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 56cabd4baf7dc95cfa91cadd50722e0afa200df0e2493d0b0d5c2e3a6efb67bf
- Size of remote file:
- 2.86 kB
- SHA256:
- 3145529dfddd86df6f32c6c5b2be3f32b06415a3f10d32b17b0707b5fa727a81
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