Text Generation
Adapters
gpt2
text-generation-inference
chemistry
finance
legal
biology
music
climate
medical
code
art
Merge
Instructions to use speedartificialintelligence1122/speedcore with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use speedartificialintelligence1122/speedcore with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("speedartificialintelligence1122/speedcore", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "unk_token": "<unk>", | |
| "bos_token": "<bos>", | |
| "eos_token": "<eos>", | |
| "pad_token": "<pad>" | |
| } | |