Instructions to use vesteinn/IceBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vesteinn/IceBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="vesteinn/IceBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("vesteinn/IceBERT") model = AutoModelForMaskedLM.from_pretrained("vesteinn/IceBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19fcd4b76bd7880468f7d22acb9f78bb6490cc96a600fb94e29d4597fa16ce7e
- Size of remote file:
- 652 MB
- SHA256:
- 9edb9a935877ed5c1fec314ab84b41db258ae0586416f5c2902b73413cacc3b6
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