Instructions to use voidful/bart-base-chinese with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use voidful/bart-base-chinese with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("voidful/bart-base-chinese") model = AutoModelForSeq2SeqLM.from_pretrained("voidful/bart-base-chinese", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (3a1ca355bdf71160721ccc9c411ee17ba04760c1) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>3d48ad0
-
update model with extra training
e076b79
-
update model
0dc7cbb
-
init commit
e1c59e2 -
initial commit
c7a267b