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Dev-DGT
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food-dbert-multiling

Token Classification
Transformers
PyTorch
distilbert
Model card Files
xet
 Community
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="Dev-DGT/food-dbert-multiling")
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("Dev-DGT/food-dbert-multiling")
model = AutoModelForTokenClassification.from_pretrained("Dev-DGT/food-dbert-multiling")
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Token classification for FOODs.

Detects foods in sentences.

Currently, only supports spanish. Multiple words foods are detected as one entity.

To-do

  • English support.
  • Negation support.
  • Quantity tags.
  • Psychosocial tags.
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