How to use hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification")
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification") model = AutoModelForTokenClassification.from_pretrained("hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification", device_map="auto")
https://huggingface.co/hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification/resolve/0721ae69bff00ecfff1b3d1521a475cde0253299/tokenizer.json
hf download hf://hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification@0721ae69bff00ecfff1b3d1521a475cde0253299/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/hf-internal-testing/tiny-random-LayoutLMv2ForTokenClassification/resolve/0721ae69bff00ecfff1b3d1521a475cde0253299/tokenizer.json
