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
| { | |
| "architectures": [ | |
| "GPT2LMHeadModel" | |
| ], | |
| "model_type": "gpt2", | |
| "n_ctx": 2048, | |
| "n_embd": 768, | |
| "n_head": 12, | |
| "n_layer": 12, | |
| "vocab_size": 50257, | |
| "bos_token_id": 0, | |
| "eos_token_id": 0, | |
| "pad_token_id": 0 | |
| } |