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)# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("DRDELATV/modelo_epicuro", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Update: Configurar modelo Epicuro para Hugging Face con archivos de configuraci贸n correctos
DRDELATV2025a22c618 -
Merge branch 'main' of https://huggingface.co/DRDELATV/modelo_epicuro
DRDELATV20254467565 -
Initial commit: Modelo Epicuro v1.0.0 - IA para Podcast
DRDELATV202547609fc -
initial commit
Verified signature09b6b19