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:
- dba73ebea63900be2024682552ee2a0db1a47200904db014539a6148d44a40ae
- Size of remote file:
- 536 MB
- SHA256:
- d71d634d570275ff7bd06f21ea1da806affa43c3564c8cec1b5cf978d8c98537
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