Instructions to use ranggics/bert2gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ranggics/bert2gpt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ranggics/bert2gpt") model = AutoModelForSeq2SeqLM.from_pretrained("ranggics/bert2gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3eb4b8eddc1580972bcccf38e13638c025b607b773123f25b09de558de08be02
- Size of remote file:
- 2.21 GB
- SHA256:
- 8d5c4cb1e3c67d1f94154a70261331682ca80d6b6c6f1bba0ce52add539f73b0
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