Instructions to use DUNHILL/results2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DUNHILL/results2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="DUNHILL/results2")# Load model directly from transformers import AutoProcessor, AutoModelForVisualQuestionAnswering processor = AutoProcessor.from_pretrained("DUNHILL/results2") model = AutoModelForVisualQuestionAnswering.from_pretrained("DUNHILL/results2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 189
Browse files
config.json
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runs/Oct20_18-07-40_b943ff2b5783/events.out.tfevents.1729447663.b943ff2b5783.433.0
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training_args.bin
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