Instructions to use DRDELATV/modelo_epicuro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DRDELATV/modelo_epicuro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="DRDELATV/modelo_epicuro", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DRDELATV/modelo_epicuro", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
DRDELATV2025
Update: Configurar modelo Epicuro para Hugging Face con archivos de configuraci贸n correctos
a22c618 | { | |
| "tokenizer_class": "PreTrainedTokenizerFast", | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "modelo_epicuro.py:EpicuroTokenizer" | |
| ] | |
| }, | |
| "model_max_length": 512, | |
| "padding_side": "right", | |
| "truncation_side": "right", | |
| "pad_token": "<pad>", | |
| "unk_token": "<unk>", | |
| "bos_token": "<s>", | |
| "eos_token": "</s>", | |
| "mask_token": "<mask>", | |
| "clean_up_tokenization_spaces": true, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "special_tokens_map_file": null, | |
| "name_or_path": "DRDELATV/modelo_epicuro", | |
| "use_fast": true | |
| } | |