Instructions to use silk-road/luotuo-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silk-road/luotuo-bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="silk-road/luotuo-bert", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("silk-road/luotuo-bert", trust_remote_code=True) model = AutoModel.from_pretrained("silk-road/luotuo-bert", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1491e9a796f05c3ac4f6778116a0b32d3631bc30fc200dd9db11d7a739cf4eb7
- Size of remote file:
- 828 MB
- SHA256:
- e01f5b79c18202de4a4eeb6f5ada1401c2db48d1450487b9ffdf040a704c8d7b
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