Instructions to use reflex-project/distilbert-base-uncased-german-nrp-codes-entry-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reflex-project/distilbert-base-uncased-german-nrp-codes-entry-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reflex-project/distilbert-base-uncased-german-nrp-codes-entry-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reflex-project/distilbert-base-uncased-german-nrp-codes-entry-classification") model = AutoModelForSequenceClassification.from_pretrained("reflex-project/distilbert-base-uncased-german-nrp-codes-entry-classification") - Notebooks
- Google Colab
- Kaggle