How to use HCKLab/BiBert-MultiTask-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HCKLab/BiBert-MultiTask-2")
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HCKLab/BiBert-MultiTask-2") model = AutoModelForSequenceClassification.from_pretrained("HCKLab/BiBert-MultiTask-2", device_map="auto")
https://huggingface.co/HCKLab/BiBert-MultiTask-2/resolve/d19081c4e3d497f4f66ec306e74583d253d206e5/__pycache__/handler.cpython-37.pyc
hf download hf://HCKLab/BiBert-MultiTask-2@d19081c4e3d497f4f66ec306e74583d253d206e5/__pycache__/handler.cpython-37.pyc
curl -L -o handler.cpython-37.pyc https://huggingface.co/HCKLab/BiBert-MultiTask-2/resolve/d19081c4e3d497f4f66ec306e74583d253d206e5/__pycache__/handler.cpython-37.pyc
