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
| {"errors": "replace", "unk_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "bos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "eos_token": {"content": "<|endoftext|>", "single_word": false, "lstrip": false, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "add_prefix_space": false, "max_len": 512, "special_tokens_map_file": "/home/.cache/huggingface/transformers/57902062674d8ea91c522ec7c31f93f4b3947d525b682597edac4bc76b6d99c2.2b8bf81243d08385c806171bc7ced6d2a0dcc7f896ca637f4e777418f7f0cc3c", "tokenizer_file": null, "name_or_path": "cahya/gpt2-small-indonesian-522M"} |