How to use selink/citation-classifier-bert-base-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="selink/citation-classifier-bert-base-uncased")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("selink/citation-classifier-bert-base-uncased") model = AutoModelForSequenceClassification.from_pretrained("selink/citation-classifier-bert-base-uncased", device_map="auto")
https://huggingface.co/selink/citation-classifier-bert-base-uncased/resolve/main/tokenizer.json
hf download hf://selink/citation-classifier-bert-base-uncased/tokenizer.json
curl -L -o tokenizer.json https://huggingface.co/selink/citation-classifier-bert-base-uncased/resolve/main/tokenizer.json
