How to use wietsedv/xlm-roberta-base-ft-udpos28-te with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="wietsedv/xlm-roberta-base-ft-udpos28-te")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-te") model = AutoModelForTokenClassification.from_pretrained("wietsedv/xlm-roberta-base-ft-udpos28-te", device_map="auto")
https://huggingface.co/wietsedv/xlm-roberta-base-ft-udpos28-te/resolve/main/tokenizer.json
hf download hf://wietsedv/xlm-roberta-base-ft-udpos28-te/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/wietsedv/xlm-roberta-base-ft-udpos28-te/resolve/main/tokenizer.json
