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