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/1c87edcd9d04814a416fc43b1e343dc41f7546bb/__pycache__/bibert_multitask_classification.cpython-37.pyc
hf download hf://HCKLab/BiBert-MultiTask-2@1c87edcd9d04814a416fc43b1e343dc41f7546bb/__pycache__/bibert_multitask_classification.cpython-37.pyc
curl -L -o bibert_multitask_classification.cpython-37.pyc https://huggingface.co/HCKLab/BiBert-MultiTask-2/resolve/1c87edcd9d04814a416fc43b1e343dc41f7546bb/__pycache__/bibert_multitask_classification.cpython-37.pyc
