Instructions to use trymtv/norbert_parliament_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use trymtv/norbert_parliament_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trymtv/norbert_parliament_classifier", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("trymtv/norbert_parliament_classifier", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModelForSequenceClassification
model = AutoModelForSequenceClassification.from_pretrained("trymtv/norbert_parliament_classifier", trust_remote_code=True, dtype="auto")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="trymtv/norbert_parliament_classifier", trust_remote_code=True)