Instructions to use GeneZC/bert-large-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GeneZC/bert-large-mrpc with Transformers:
# Load model directly from transformers import AutoTokenizer, BertCls tokenizer = AutoTokenizer.from_pretrained("GeneZC/bert-large-mrpc") model = BertCls.from_pretrained("GeneZC/bert-large-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77325f2e03d53f8e52df789c19378d6fd0afd0167f891b65b0bf58e3616396ab
- Size of remote file:
- 1.34 GB
- SHA256:
- 0f77f47227f3018cd90b6954ad5a30b5d415a6a437d4b15f3195cc52e7d502ed
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