Instructions to use fusing/gpt2_optimus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fusing/gpt2_optimus with Transformers:
# Load model directly from transformers import AutoTokenizer, GPT2OptimusForLatentConnector tokenizer = AutoTokenizer.from_pretrained("fusing/gpt2_optimus") model = GPT2OptimusForLatentConnector.from_pretrained("fusing/gpt2_optimus") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_bos_token": false, | |
| "add_prefix_space": false, | |
| "bos_token": { | |
| "__type": "AddedToken", | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "eos_token": { | |
| "__type": "AddedToken", | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "errors": "replace", | |
| "name_or_path": "./", | |
| "pad_token": null, | |
| "special_tokens_map_file": null, | |
| "tokenizer_class": "GPT2Tokenizer", | |
| "unk_token": { | |
| "__type": "AddedToken", | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": true, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |