Instructions to use wooning/bert_lora_mrpc_add_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wooning/bert_lora_mrpc_add_data with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("wooning/bert_lora_mrpc_add_data", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aedbd50b131417e314101b0e6dbaf9cce80a9dbafe8e8d2c8f3fa5cf710bc1e0
- Size of remote file:
- 1.78 MB
- SHA256:
- 3577afdabb8579541bbebbadd3c80064716dc41b6c8618aeb4ed2b3e09fbb91e
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