Instructions to use jonraza15/learb_hf_food_text_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonraza15/learb_hf_food_text_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jonraza15/learb_hf_food_text_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jonraza15/learb_hf_food_text_classifier") model = AutoModelForSequenceClassification.from_pretrained("jonraza15/learb_hf_food_text_classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b4d1d169e48d610e1ccf7c2c17ea76f384fa0d6a083a978529b6e8ded5a98c3
- Size of remote file:
- 5.2 kB
- SHA256:
- f19b82b9be1ee1fbb3b7ae812732cba0cf4159f5ba83e920d4f48be381ea4522
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