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:
- 6b992c69e2af53a7e60be55944084de9ade5d7e89af519b1f056aa29222119d4
- Size of remote file:
- 627 Bytes
- SHA256:
- f65d514eaec6c76c6ec10a1783c783b393dbd61b5def51de7a17365db021f302
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