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:
- 0fbf99204ca8b87b92eacb6fecb836398a58b871488645fcafc489a6ca3ae016
- Size of remote file:
- 443 MB
- SHA256:
- d9826aa62da15b311d5533c43c65a47021b49c6e2c5cb19f4118d4d5dd0403f2
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