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--- |
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library_name: transformers |
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tags: |
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- food |
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- environment |
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- NLP |
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- Eco-Score |
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- products |
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- multilingual |
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- BERT |
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- classification |
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- Open Food Facts |
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- climate |
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license: mit |
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datasets: |
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- baskra/LEAF |
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--- |
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# LEAF: Predicting the Environmental Impact of Food Products based on their Name |
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The `leaf-large` model is |
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a [`BAAI/bge-m3`](https://huggingface.co/BAAI/bge-m3) |
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model fine-tuned on the [LEAF dataset](https://huggingface.co/datasets/baskra/LEAF). |
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To load the model, use the following code: |
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```python |
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from transformers import AutoTokenizer, AutoModel |
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tokenizer = AutoTokenizer.from_pretrained("baskra/leaf-base") |
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model = AutoModel.from_pretrained("baskra/leaf-base", trust_remote_code=True) |
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model(**tokenizer("Nutella", return_tensors="pt")) |
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# {'logits': tensor([[-12.2842, ...]]), 'class_idx': tensor([1553]), 'ef_score': tensor([0.0129]), 'class': ['Chocolate spread with hazelnuts']} |
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``` |
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## Citation |
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When using this model, please consider citing it as follows: |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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