Instructions to use alikLab/NoLBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alikLab/NoLBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="alikLab/NoLBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("alikLab/NoLBERT") model = AutoModelForMaskedLM.from_pretrained("alikLab/NoLBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5e3ffc686734e92e0aabb86539e98dca9b98b7ed0ae1f2b630ce9b9c969dc95b
- Size of remote file:
- 5.71 kB
- SHA256:
- fc4f42395e56836b8ddc43ff71ab63716f8ff04dd750afc1ca6bb66f6611f0ab
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