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) - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b6274c9fc251534809b620d4544729e9e1fdde28c59f93ee7c58ae2cd3ef5ddb
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size 413822992
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