Instructions to use phonghoccode/vilt-finetuned-cocoqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use phonghoccode/vilt-finetuned-cocoqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="phonghoccode/vilt-finetuned-cocoqa")# Load model directly from transformers import AutoProcessor, AutoModelForQuestionAnswering processor = AutoProcessor.from_pretrained("phonghoccode/vilt-finetuned-cocoqa") model = AutoModelForQuestionAnswering.from_pretrained("phonghoccode/vilt-finetuned-cocoqa") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 54e852e175c77062787953ba006517dedfc8bec3cb49b4da5933b6d31bcbd930
- Size of remote file:
- 454 MB
- SHA256:
- 1b0bbf2791f8e4a97d0553e514e957b018859635fc8f4363fd6f6a47fa88dd15
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