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:
- 96d31b543d4ef3fb7148e609c08cfbd569ca79ccdc20ea036cb4d49bb31005b1
- Size of remote file:
- 1.13 GB
- SHA256:
- a22d3bd8a9c8508279ece362585da8bfd67d4cc8401a865361aa19d6bec19e0e
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