Instructions to use ckiplab/albert-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/albert-base-chinese with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ckiplab/albert-base-chinese")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ckiplab/albert-base-chinese") model = AutoModelForMaskedLM.from_pretrained("ckiplab/albert-base-chinese") - Notebooks
- Google Colab
- Kaggle
[AUTOMATED] Model Memory Requirements
#2 opened almost 2 years ago
by
model-sizer-bot
Adding `safetensors` variant of this model
#1 opened about 3 years ago
by
SFconvertbot