How to use hf-internal-testing/tiny-random-MarkupLMModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-MarkupLMModel")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-MarkupLMModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-MarkupLMModel", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-MarkupLMModel/resolve/64ee01732aeb8be873b03449d3c98e356aaaed75/preprocessor_config.json
hf download hf://hf-internal-testing/tiny-random-MarkupLMModel@64ee01732aeb8be873b03449d3c98e356aaaed75/preprocessor_config.json
curl -L -o preprocessor_config.json https://huggingface.co/hf-internal-testing/tiny-random-MarkupLMModel/resolve/64ee01732aeb8be873b03449d3c98e356aaaed75/preprocessor_config.json
