Instructions to use NimaKL/Text-Classification-bi-BERTURK with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NimaKL/Text-Classification-bi-BERTURK with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NimaKL/Text-Classification-bi-BERTURK")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("NimaKL/Text-Classification-bi-BERTURK") model = AutoModelForSequenceClassification.from_pretrained("NimaKL/Text-Classification-bi-BERTURK") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("NimaKL/Text-Classification-bi-BERTURK")
model = AutoModelForSequenceClassification.from_pretrained("NimaKL/Text-Classification-bi-BERTURK")Quick Links
README.md exists but content is empty.
- Downloads last month
- 7
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="NimaKL/Text-Classification-bi-BERTURK")