Instructions to use silk-road/luotuo-bert-medium with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use silk-road/luotuo-bert-medium with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="silk-road/luotuo-bert-medium", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("silk-road/luotuo-bert-medium", trust_remote_code=True) model = AutoModel.from_pretrained("silk-road/luotuo-bert-medium", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 26901c70f1bc7ce97463438f758c62a54fa223a43a377e9acb6e1e0c9f8184fb
- Size of remote file:
- 3.58 kB
- SHA256:
- d6af80fd09672dd29b0facf9856807334d2bdc623e79e4001ce1e108d2132487
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