How to use hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification", device_map="auto")
https://huggingface.co/hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification/resolve/4cda5e866c42d8c860a4c310ca2a4d61a051ea4b/tokenizer.json
hf download hf://hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification@4cda5e866c42d8c860a4c310ca2a4d61a051ea4b/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-tiny-model-private/tiny-random-MarkupLMForTokenClassification/resolve/4cda5e866c42d8c860a4c310ca2a4d61a051ea4b/tokenizer.json
