Instructions to use davanstrien/deberta-v3-base_fine_tuned_food_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/deberta-v3-base_fine_tuned_food_ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="davanstrien/deberta-v3-base_fine_tuned_food_ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/deberta-v3-base_fine_tuned_food_ner") model = AutoModelForTokenClassification.from_pretrained("davanstrien/deberta-v3-base_fine_tuned_food_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
No description provided.
davanstrien changed pull request status to merged