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 - Xet hash:
- a5cb805db803a3d9df5ff688dd4ba0fa04fb4ef84ba6cbed2b47d61cc3b804cf
- Size of remote file:
- 342 Bytes
- SHA256:
- 3fda89ff3aeefd55701d1a5e06438559df5c4b69fb094734a60162351a1e82d9
路
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