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:
- f310b21ecd7c1eb65e7fc679d8b0c61285c3c2e2e496de5a6fda061b8f34c39d
- Size of remote file:
- 873 MB
- SHA256:
- 48bd485186e415178a7630ee97bd63ad833603a3cde2574709d3e25aeea30ca8
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