Instructions to use AiLab-IMCS-UL/lv-mbert-mini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AiLab-IMCS-UL/lv-mbert-mini with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="AiLab-IMCS-UL/lv-mbert-mini")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("AiLab-IMCS-UL/lv-mbert-mini") model = AutoModelForMaskedLM.from_pretrained("AiLab-IMCS-UL/lv-mbert-mini") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c4eaccd656dac4db99b753270ca4db965e6d3f81a5dfc31e5fc45d9b6962005
- Size of remote file:
- 305 MB
- SHA256:
- a4fe96f46a6d2c2c5ada14030953be6b43a5385067b55a9f4325cb0b526d5ea8
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