Instructions to use Mantis-VL/mantis-8b-idefics2-classification-example_4096_regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mantis-VL/mantis-8b-idefics2-classification-example_4096_regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mantis-VL/mantis-8b-idefics2-classification-example_4096_regression")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("Mantis-VL/mantis-8b-idefics2-classification-example_4096_regression") model = AutoModelForSequenceClassification.from_pretrained("Mantis-VL/mantis-8b-idefics2-classification-example_4096_regression") - Notebooks
- Google Colab
- Kaggle
File size: 68 Bytes
cdfbb58 | 1 2 3 4 5 | {
"image_seq_len": 64,
"processor_class": "Idefics2Processor"
}
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