Instructions to use Sebabrata/lmv2-g-rai-auth-02-14 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sebabrata/lmv2-g-rai-auth-02-14 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Sebabrata/lmv2-g-rai-auth-02-14")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("Sebabrata/lmv2-g-rai-auth-02-14") model = AutoModelForTokenClassification.from_pretrained("Sebabrata/lmv2-g-rai-auth-02-14", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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