Instructions to use AiLab-IMCS-UL/lvbert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiLab-IMCS-UL/lvbert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="AiLab-IMCS-UL/lvbert")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("AiLab-IMCS-UL/lvbert") model = AutoModel.from_pretrained("AiLab-IMCS-UL/lvbert", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 11c21376deb0f10a31337b5d8144e3c98874bc8f2f731f9ab93493ae790a7d13
- Size of remote file:
- 443 MB
- SHA256:
- 9663ae166eea4e10da5a8a122d6bb3fe88ef249032cbca5f3a80379d0092118e
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