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:
- 5c9865c2329b802092c0c9c3449e668f11a237a2923cb1d44fb88d6b97fe35f3
- Size of remote file:
- 3.64 kB
- SHA256:
- 82ef62c98bbc42a0ce12883124231b698271139d95beae58f38eff35ab2ba06f
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