Instructions to use danil7/rubert-tiny-reports-is-trash-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danil7/rubert-tiny-reports-is-trash-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danil7/rubert-tiny-reports-is-trash-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification") model = AutoModelForSequenceClassification.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification")
model = AutoModelForSequenceClassification.from_pretrained("danil7/rubert-tiny-reports-is-trash-classification")Quick Links
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="danil7/rubert-tiny-reports-is-trash-classification")