How to use hf-internal-testing/tiny-random-MarkupLMForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-MarkupLMForTokenClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-MarkupLMForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-MarkupLMForTokenClassification", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-MarkupLMForTokenClassification/resolve/b9f924e82f400de0b34b46ee4ba276d686bd4890/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-MarkupLMForTokenClassification@b9f924e82f400de0b34b46ee4ba276d686bd4890/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-MarkupLMForTokenClassification/resolve/b9f924e82f400de0b34b46ee4ba276d686bd4890/tokenizer.json
