# Load model directly
from transformers import AutoTokenizer, AutoModelForTokenClassification
tokenizer = AutoTokenizer.from_pretrained("Pot-l/bert-ner-skills")
model = AutoModelForTokenClassification.from_pretrained("Pot-l/bert-ner-skills", device_map="auto")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
This is a finetuned BERT model used for resume skill detection.
Usage pls refer to https://github.com/ljw-612/AI-career-consultant
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Pot-l/bert-ner-skills")