Instructions to use SmartPy/bert-hs-idpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SmartPy/bert-hs-idpt with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="SmartPy/bert-hs-idpt")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("SmartPy/bert-hs-idpt") model = AutoModelForMaskedLM.from_pretrained("SmartPy/bert-hs-idpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d4159ceb83a89a448aca21b92b4b303bef3221f59464f5dd0ec04bd9a67b2f06
- Size of remote file:
- 438 MB
- SHA256:
- 6b98f96469ece7d916fdde7cbedf017cd5a7d8537fb02ec4442c5bb3ff823db3
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