How to use HooshvareLab/bert-base-parsbert-ner-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-base-parsbert-ner-uncased")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased", device_map="auto")
https://huggingface.co/HooshvareLab/bert-base-parsbert-ner-uncased/resolve/102852194c5980d502c96d8b85d730a998cba8bf/special_tokens_map.json
hf download hf://HooshvareLab/bert-base-parsbert-ner-uncased@102852194c5980d502c96d8b85d730a998cba8bf/special_tokens_map.json
curl -L -o special_tokens_map.json https://huggingface.co/HooshvareLab/bert-base-parsbert-ner-uncased/resolve/102852194c5980d502c96d8b85d730a998cba8bf/special_tokens_map.json
