Instructions to use chisadi/nice-distilbert-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chisadi/nice-distilbert-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="chisadi/nice-distilbert-v2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("chisadi/nice-distilbert-v2") model = AutoModelForSequenceClassification.from_pretrained("chisadi/nice-distilbert-v2") - Notebooks
- Google Colab
- Kaggle
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Check out the documentation for more information.
Distibert model finetuned on the task of classifying product descriptions to one of 45 broad NICE classifications
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