File size: 1,065 Bytes
f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da 941c13f f0c06da |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
---
library_name: transformers
tags:
- food
- environment
- NLP
- Eco-Score
- products
- multilingual
- BERT
- classification
- Open Food Facts
- climate
license: mit
datasets:
- baskra/LEAF
---
# LEAF: Predicting the Environmental Impact of Food Products based on their Name
The `leaf-large` model is
a [`BAAI/bge-m3`](https://huggingface.co/BAAI/bge-m3)
model fine-tuned on the [LEAF dataset](https://huggingface.co/datasets/baskra/LEAF).
To load the model, use the following code:
```python
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("baskra/leaf-base")
model = AutoModel.from_pretrained("baskra/leaf-base", trust_remote_code=True)
model(**tokenizer("Nutella", return_tensors="pt"))
# {'logits': tensor([[-12.2842, ...]]), 'class_idx': tensor([1553]), 'ef_score': tensor([0.0129]), 'class': ['Chocolate spread with hazelnuts']}
```
## Citation
When using this model, please consider citing it as follows:
**BibTeX:**
[More Information Needed]
**APA:**
[More Information Needed]
|