Instructions to use ckiplab/albert-tiny-chinese-ws with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ckiplab/albert-tiny-chinese-ws with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="ckiplab/albert-tiny-chinese-ws")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("ckiplab/albert-tiny-chinese-ws") model = AutoModelForTokenClassification.from_pretrained("ckiplab/albert-tiny-chinese-ws", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e8b9acfc4d392701b843213dd1b1dfead8a36e44ce5ac81ffea278332543967d
- Size of remote file:
- 15.9 MB
- SHA256:
- 2ededb20956722e26434fcda12b31a1da568e1629228be273cffe53f275b9d94
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