Instructions to use chefkoch24/weak-ingredient-recognition-bert-base-cased-german with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chefkoch24/weak-ingredient-recognition-bert-base-cased-german with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="chefkoch24/weak-ingredient-recognition-bert-base-cased-german")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("chefkoch24/weak-ingredient-recognition-bert-base-cased-german") model = AutoModelForTokenClassification.from_pretrained("chefkoch24/weak-ingredient-recognition-bert-base-cased-german") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd8c4f59fe1948837ea107aaea4abd0c205cdfdf732c1ee2d2dfaa6005d17cec
- Size of remote file:
- 434 MB
- SHA256:
- 434ccdc870e0f2795f17ea8c6b62d167b435e6e036e93513264092e50f8e2b12
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