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:
- 67e80e0aceadb15879bc5d8200442809dfeea7dd14f78b070537033353e0fc31
- Size of remote file:
- 627 Bytes
- SHA256:
- 270fefd369092a06397feb399766ee1f6488339bfc213573fcfc63cb832a2528
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