Instructions to use Sunbird/sunflower_language_classification_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sunbird/sunflower_language_classification_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Sunbird/sunflower_language_classification_v2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Sunbird/sunflower_language_classification_v2") model = AutoModelForSequenceClassification.from_pretrained("Sunbird/sunflower_language_classification_v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 893 Bytes
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