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