Instructions to use infly/inf-wse-v2-base-zh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use infly/inf-wse-v2-base-zh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="infly/inf-wse-v2-base-zh", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("infly/inf-wse-v2-base-zh", trust_remote_code=True) model = AutoModelForMaskedLM.from_pretrained("infly/inf-wse-v2-base-zh", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "auto_map": { | |
| "AutoTokenizer": [ | |
| "tokenization_sparse.ChineseRoFormerTokenizer", | |
| "" | |
| ] | |
| }, | |
| "tokenizer_class": "ChineseRoFormerTokenizer", | |
| "tokenize_chinese_chars": false | |
| } |