Instructions to use casehold/bert-double with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casehold/bert-double with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="casehold/bert-double")# Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("casehold/bert-double") model = AutoModelForPreTraining.from_pretrained("casehold/bert-double") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 16d37cf26f2fb365e0edd77eb5e2977b7d951d4321e30b8b8fb5b7146c5f5d33
- Size of remote file:
- 440 MB
- SHA256:
- eaff2f5239f4c5b6fe46ca0ce8158f0293a38aca9a1aad2d5659915c464e07b9
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