How to use hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification") model = AutoModelForSequenceClassification.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification/resolve/ea4e024b610660769cf95c6a9ff3b0c38815528a/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification@ea4e024b610660769cf95c6a9ff3b0c38815528a/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-MarkupLMForSequenceClassification/resolve/ea4e024b610660769cf95c6a9ff3b0c38815528a/tokenizer.json
