Instructions to use LDD/bert_mlm_new with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LDD/bert_mlm_new with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="LDD/bert_mlm_new")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("LDD/bert_mlm_new") model = AutoModel.from_pretrained("LDD/bert_mlm_new", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from LDD/bert_mlm_new: direct link, hf CLI and curl.
- Browser
- Download file 121 Bytes
-
https://huggingface.co/LDD/bert_mlm_new/resolve/main/README.md
- Command line
-
hf download hf://LDD/bert_mlm_new/README.md
-
curl -L -o README.md https://huggingface.co/LDD/bert_mlm_new/resolve/main/README.md
121 Bytes
在bert-base-chinese基础上进行新闻语料库的增量预训练的模型,token采用的是hfl/chinese-bert-wwm-ext