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
Adding `safetensors` variant of this model
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by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:b992c0bfd7c5c513b37ef771f159ea256ca77e0a970b494d4918dd3d8596779f
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size 528766088
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