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food_entity_extractor
Dingaling01/food_entity_extractor
food_entity_extractor is a machine learning model from Dingaling01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for spacy. The card lists the license as mit.
Github Repo: <a href=https://github.com/randymi01/foodner https://github.com/randymi01/foodner</a
Access
Public
Updated May 6, 2023
Repo size
13.5 MB
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1
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Repo makeup
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At a glance
- Library
- spacy
- License
- mit
- Access
- Public
- Created
- May 6, 2023
- Updated
- May 6, 2023
- SHA
- a4ee1c43
Model card
From the Hugging Face model README
Food NER
Github Repo: <a href=https://github.com/randymi01/food_ner> https://github.com/randymi01/food_ner</a>
Spacy Food Name Entity Recognition (NER) model trained on StanfordNLP CRF recipe dataset
Installation
Use the package manager pip to install spacy version spacy==3.5.0 and then download the spacy en_core_web_sm model.
pip install spacy==3.5.0
python -m spacy download en_core_web_sm
Usage
import spacy
nlp = spacy.load("model")
# returns (spring mix, chicken breast, chili, hamburger meat)
nlp("I have spring mix, chicken breast, chili, and hamburger meat").ents
Model Hyperparameters
- Epochs: 10
- Batch Size: 4-32
- Optimizer: Adam
- lr = 5e-03
- drop_rate = 0.5
Model Performance
License
- Library
- spacy
- License
- mit
- Created
- May 6, 2023
- Updated
- May 6, 2023