aws / aws/sagemaker-python-sdk
V3 support for many tasks as possible in Huggingface, starting with "text-to-image"
- Lenguaje dominante
- Python
- Estrellas
- 2.3k
- Forks
- 1.3k
- Merge medio
- 1 d 22 h
- PR fusionados (30 d)
- 35
Descripción
With V2, the `HuggingFace` class allowed to do inference on many different models performing different tasks. Moving to V3 many of the available tasks are not functional anymore.
I would like to see them working again with the V3 `ModelBuilder` interface, and to be able to use a short code snippet to deploy a model.
Here's the complete list of the tasks we used to support:
```
"text-classification",
"token-classification",
"table-question-answering",
"question-answering",
"zero-shot-classification",
"translation",
"summarization",
"feature-extraction",
"text-generation",
"fill-mask",
"sentence-similarity",
"automatic-speech-recognition",
"text-to-image",
"text-to-speech",
"audio-to-audio",
"audio-classification",
"image-classification",
"object-detection",
"image-segmentation"
```
The most important tasks for us are "text-generation" (already working on V3) and "text-to-image" (currently broken). If you think you can make at least these two work it would be great.
An example of model that we would like to test is **black-forest-labs/FLUX.2-dev**.
Guía de contribución
Línea de trabajo
No se nombran archivos ni pruebas. Empieza leyendo la ruta de V3 ModelBuilder que ya admite text-generation y, después, investiga el despliegue del modelo FLUX.2-dev proporcionado para text-to-image. Se considerará terminado cuando al menos text-generation y text-to-image funcionen mediante V3 con un breve fragmento de despliegue, y se haya abordado, cuando sea posible, una compatibilidad más amplia con las tareas enumeradas.
Escrito por el modelo de indexación a partir del texto del issue.
Evaluación
- Stack tecnológico
- aws, huggingface, python
- Área
- cloud, machine-learning
- Tipo de issue
- Nueva funcionalidad
- Dificultad
- 5/5
- Tiempo estimado
- Más de una semana
- Estado de actividad
- Estancado
- Claridad
- Bastante claro
- Aptitud para principiantes
- 32/100