Instructions to use theodor1289/thesis_halfsize_text10_vision10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use theodor1289/thesis_halfsize_text10_vision10 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("theodor1289/thesis_halfsize_text10_vision10") model = AutoModelForPreTraining.from_pretrained("theodor1289/thesis_halfsize_text10_vision10", device_map="auto") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
flava_half-wit/date(2023-09-04)_time(16:56:17)/seed(5501650)-magic({'enable': True})-text_perc(10)-vision_perc(10/flava-epoch=00-step=13867.ckpt
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