Instructions to use sensenova/piccolo-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sensenova/piccolo-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="sensenova/piccolo-base-zh")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("sensenova/piccolo-base-zh") model = AutoModel.from_pretrained("sensenova/piccolo-base-zh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
About open-source license and used for commercial purposes
#1
by LronDC - opened
Hi, it's a very new model and it seems to perform well. I would like to ask about the open-source license and whether the information can be used for commercial purposes.
sorry to reply late and we just update license in README. Piccolo use MIT License. It can be used for commercial purposes free of charge.
Good to know that!