Instructions to use LDD/bert_wwm_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDD/bert_wwm_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LDD/bert_wwm_new")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LDD/bert_wwm_new") model = AutoModel.from_pretrained("LDD/bert_wwm_new") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModel
tokenizer = AutoTokenizer.from_pretrained("LDD/bert_wwm_new")
model = AutoModel.from_pretrained("LDD/bert_wwm_new")Quick Links
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Check out the documentation for more information.
在chinese-bert-wwm的基础上进行新闻语料库的增量预训练,token采用的是hfl/chinese-bert-wwm-ext
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LDD/bert_wwm_new")