Instructions to use flax-community/clip-spanish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use flax-community/clip-spanish with Transformers:
# Load model directly from transformers import HybridCLIP model = HybridCLIP.from_pretrained("flax-community/clip-spanish", dtype="auto") - Notebooks
- Google Colab
- Kaggle
CLIP-Spanish
CLIP Spanish is a CLIP-like model for Spanish language. It is composed of BERTIN as a language encoder and the ViT-B/32 image encoder from CLIP. The model is implemented in Flax, including training scripts (see training.md).
This is part of the Flax/Jax Community Week, organised by HuggingFace and TPU usage sponsored by Google.
Spanish WIT
We used a subset of 141,230 Spanish captions from the WIT dataset for training.
Team members
- Eduardo González Ponferrada (edugp)
- Manu Romero (mrm8488)
- María Grandury (mariagrandury)
Useful links
- Downloads last month
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