How to use colinglab/UMBERTO_fine-tuned_DocClass_PA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="colinglab/UMBERTO_fine-tuned_DocClass_PA")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("colinglab/UMBERTO_fine-tuned_DocClass_PA") model = AutoModelForSequenceClassification.from_pretrained("colinglab/UMBERTO_fine-tuned_DocClass_PA", device_map="auto")
https://huggingface.co/colinglab/UMBERTO_fine-tuned_DocClass_PA/resolve/main/tokenizer.json
hf download hf://colinglab/UMBERTO_fine-tuned_DocClass_PA/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/colinglab/UMBERTO_fine-tuned_DocClass_PA/resolve/main/tokenizer.json
