Instructions to use SoooSlooow/bert-base-aeslc-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SoooSlooow/bert-base-aeslc-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SoooSlooow/bert-base-aeslc-2")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SoooSlooow/bert-base-aeslc-2") model = AutoModelForMaskedLM.from_pretrained("SoooSlooow/bert-base-aeslc-2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27505dde303049e9c03d11058d549ed0d3d3d136a2d4b0399841c3155807a5b4
- Size of remote file:
- 4.54 kB
- SHA256:
- 66f4be3939024c12e172153d7039551a39feedd4217cf50136d985b549dc4a27
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