Instructions to use sumercesito/GeneracionDeDeseos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use sumercesito/GeneracionDeDeseos with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("fill-in-model-name") model.load_adapter("sumercesito/GeneracionDeDeseos", set_active=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "GemmaForCausalLM" | |
| ], | |
| "model_type": "gemma", | |
| "hidden_size": 3072, | |
| "intermediate_size": 8192, | |
| "num_attention_heads": 24, | |
| "num_hidden_layers": 32, | |
| "vocab_size": 256000, | |
| "max_position_embeddings": 8192, | |
| "torch_dtype": "float16", | |
| "transformers_version": "4.39.0", | |
| "auto_map": { | |
| "AutoConfig": "configuration_gemma.GemmaConfig", | |
| "AutoModelForCausalLM": "modeling_gemma.GemmaForCausalLM", | |
| "AutoTokenizer": "tokenization_gemma.GemmaTokenizer" | |
| } | |
| } | |