How to use hf-tiny-model-private/tiny-random-MarkupLMModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-MarkupLMModel")
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMModel", device_map="auto")
