Text Classification
Transformers
Safetensors
deberta-v2
food
menu-understanding
allergen-detection
text-embeddings-inference
Instructions to use adisyonist/14-allergens-0.3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use adisyonist/14-allergens-0.3b with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="adisyonist/14-allergens-0.3b")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("adisyonist/14-allergens-0.3b") model = AutoModelForSequenceClassification.from_pretrained("adisyonist/14-allergens-0.3b", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d09c46897d5d4648034da26b74adc76f36c17c8d391ad2b38286b64e9849a3c
- Size of remote file:
- 1.12 GB
- SHA256:
- 2d48e5ef9e39b3ccd32761d948bc949d849dbe51ae3bb237cf7d939b1f90c423
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