Instructions to use Makhmud/Kun_uz_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Makhmud/Kun_uz_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Makhmud/Kun_uz_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Makhmud/Kun_uz_classification") model = AutoModelForSequenceClassification.from_pretrained("Makhmud/Kun_uz_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
79b4db1 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:97fa94e3eca6862a6de4c276ea7be237818e77388cfe531361b15bd1bc665ac0
size 438012269
|