Instructions to use ViraIntelligentDataMining/AriaBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ViraIntelligentDataMining/AriaBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ViraIntelligentDataMining/AriaBERT")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ViraIntelligentDataMining/AriaBERT") model = AutoModelForMaskedLM.from_pretrained("ViraIntelligentDataMining/AriaBERT") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b48e01ebf0cba23232381a7ea7a69bb212e56f44d1d56d048d1a143e97453b8c
- Size of remote file:
- 529 MB
- SHA256:
- 35fe8b78e49505d0516f182310fbc9d014974c0d88bf623224a97427f491aa70
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