Instructions to use SivaMallikarjun/herbivorous-food-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SivaMallikarjun/herbivorous-food-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SivaMallikarjun/herbivorous-food-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SivaMallikarjun/herbivorous-food-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download train_data.csv from SivaMallikarjun/herbivorous-food-model: direct link, hf CLI and curl.
- Browser
- Download file 331 Bytes
-
https://huggingface.co/SivaMallikarjun/herbivorous-food-model/resolve/main/train_data.csv
- Command line
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hf download hf://SivaMallikarjun/herbivorous-food-model/train_data.csv
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curl -L -o train_data.csv https://huggingface.co/SivaMallikarjun/herbivorous-food-model/resolve/main/train_data.csv
331 Bytes
| text,category | |
| "Growing grass for cattle feed in wet regions","grass" | |
| "Orchid farming in controlled environments","orchid" | |
| "Planting crops in high-altitude terrains","terrain" | |
| "Desert farming techniques using less water","desert" | |
| "Non-green food sources like fungi","non-green" | |
| "Growing water plants for fishery feed","water-plant" | |