Instructions to use SoooSlooow/bert-base-aeslc-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoooSlooow/bert-base-aeslc-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SoooSlooow/bert-base-aeslc-3")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SoooSlooow/bert-base-aeslc-3") model = AutoModelForMaskedLM.from_pretrained("SoooSlooow/bert-base-aeslc-3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad4b2f2bdc866ff04fb34cfc0d63d1be7874671e33524359d2e7463fcd7433af
- Size of remote file:
- 4.54 kB
- SHA256:
- 73e779ae274e916332955329da46e1b237b982eaeda3069be49e536dc298a4d8
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