Text Classification
Transformers
TensorFlow
TensorBoard
Safetensors
distilbert
generated_from_keras_callback
text-embeddings-inference
Instructions to use PDAP/url-relevance with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PDAP/url-relevance with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PDAP/url-relevance")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("PDAP/url-relevance") model = AutoModelForSequenceClassification.from_pretrained("PDAP/url-relevance") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
Rename runs/DistilBERT/events.out.tfevents.1712077000.kylie-aspiree5553g.395962.0 to runs/DistilBERT/Keywords/events.out.tfevents.1712077000.kylie-aspiree5553g.395962.0
537e1f3 verified