Instructions to use poolside-laguna-hackathon/laguna-vision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use poolside-laguna-hackathon/laguna-vision with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("image-to-text", model="poolside-laguna-hackathon/laguna-vision")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("poolside-laguna-hackathon/laguna-vision", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| from lagunavision.data.adapters import HuggingFaceDatasetAdapter, required_hf_adapters | |
| from lagunavision.data.hf_materialize import DEFAULT_HF_DATASETS, materialize_hf_dataset | |
| from lagunavision.data.sources import DATASET_SOURCES, required_sources | |
| __all__ = [ | |
| "DATASET_SOURCES", | |
| "DEFAULT_HF_DATASETS", | |
| "HuggingFaceDatasetAdapter", | |
| "materialize_hf_dataset", | |
| "required_hf_adapters", | |
| "required_sources", | |
| ] | |