Instructions to use Amploud/Aika with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- fastai
How to use Amploud/Aika with fastai:
from huggingface_hub import from_pretrained_fastai learn = from_pretrained_fastai("Amploud/Aika") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": ["CausalLMWithPast"], | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "hidden_size": 4096, | |
| "layer_norm_epsilon": 1e-5, | |
| "model_type": "causal_lm", | |
| "num_attention_heads": 32, | |
| "num_hidden_layers": 32, | |
| "vocab_size": 32000 | |
| } |