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davanstrien/autotrain-recipes-2451975973
autotrain-recipes-2451975973 is a text classification model from davanstrien. Use it when you need a label for a piece of text. It is set up for transformers.
- Problem type: Multi-class Classification - Model ID: 2451975973 - CO2 Emissions (in grams): 6.9906
Downloads · 30 days
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From the Hugging Face model README
This model has been trained to predict whether an article from a historic newspaper is a 'recipe' or 'not a recipe'. This model was trained on data generated by carrying out a keyword search of food terms and annotating examples results to indicate whether they were a recipe.
You can use cURL to access this model:
$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/davanstrien/autotrain-recipes-2451975973
Or Python API:
from transformers import AutoModelForSequenceClassification, AutoTokenizer
model = AutoModelForSequenceClassification.from_pretrained("davanstrien/autotrain-recipes-2451975973", use_auth_token=True)
tokenizer = AutoTokenizer.from_pretrained("davanstrien/autotrain-recipes-2451975973", use_auth_token=True)
inputs = tokenizer("I love AutoTrain", return_tensors="pt")
outputs = model(**inputs)