How to use HCKLab/BiBert-Classification-V2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HCKLab/BiBert-Classification-V2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HCKLab/BiBert-Classification-V2") model = AutoModelForSequenceClassification.from_pretrained("HCKLab/BiBert-Classification-V2", device_map="auto")
https://huggingface.co/HCKLab/BiBert-Classification-V2/resolve/refs%2Fpr%2F1/.gitignore
hf download hf://HCKLab/BiBert-Classification-V2@refs/pr/1/.gitignore
curl -L -o .gitignore https://huggingface.co/HCKLab/BiBert-Classification-V2/resolve/refs%2Fpr%2F1/.gitignore
