HungChau

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distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5

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# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("token-classification", model="HungChau/distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5")

# pip install -U transformers accelerate
# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("HungChau/distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5")
model = AutoModelForTokenClassification.from_pretrained("HungChau/distilbert-base-cased-concept-extraction-iir-v1.2-concept-extraction-kp20k-v1.5", device_map="auto")