Instructions to use ibm-esa-geospatial/Llama3-MS-CLIP-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use ibm-esa-geospatial/Llama3-MS-CLIP-base with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("ibm-esa-geospatial/Llama3-MS-CLIP-base") - Notebooks
- Google Colab
- Kaggle
Add pipeline tag and relevant tags
#1
by nielsr HF Staff - opened
This PR improves the model card by adding the pipeline_tag: zero-shot-image-classification, ensuring the model is discoverable through relevant filters on the Hugging Face Hub. It also includes additional descriptive tags like multispectral and earth-observation to further categorize the model accurately.
blumenstiel changed pull request status to merged