Instructions to use JoseRFJunior/I-JEPA-Agro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JoseRFJunior/I-JEPA-Agro with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-feature-extraction", model="JoseRFJunior/I-JEPA-Agro")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JoseRFJunior/I-JEPA-Agro", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download data/manifest.example.csv from JoseRFJunior/I-JEPA-Agro: direct link, hf CLI and curl.
- Browser
- Download file 314 Bytes
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https://huggingface.co/JoseRFJunior/I-JEPA-Agro/resolve/main/data/manifest.example.csv
- Command line
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hf download hf://JoseRFJunior/I-JEPA-Agro/data/manifest.example.csv
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curl -L -o manifest.example.csv https://huggingface.co/JoseRFJunior/I-JEPA-Agro/resolve/main/data/manifest.example.csv
314 Bytes
| path,label,split,fazenda_id,talhao_id,safra,cultivar | |
| images/folha_0001.jpg,saudavel,train,F01,T01,2025-2026,BRS100 | |
| images/folha_0002.jpg,ferrugem_asiatica,train,F01,T02,2025-2026,BRS100 | |
| images/folha_0003.jpg,mancha_alvo,test,F02,T10,2025-2026,BRS284 | |
| images/folha_0004.jpg,dano_inseto,test,F02,T11,2025-2026,BRS284 | |