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