Instructions to use ranggics/bert2bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ranggics/bert2bert with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ranggics/bert2bert") model = AutoModelForSeq2SeqLM.from_pretrained("ranggics/bert2bert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d18945f9b7a6168953f2f1cee73c84e40e2565608563f7dacfaad87b6c73c56
- Size of remote file:
- 2.21 GB
- SHA256:
- b23940db6d680ceb775a453beec3fa2d36578950efa1d3bd891f3f73c3653f0a
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