Instructions to use regisss/bert-pretraining-gaudi-2-batch-size-32 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use regisss/bert-pretraining-gaudi-2-batch-size-32 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="regisss/bert-pretraining-gaudi-2-batch-size-32")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-32") model = AutoModelForMaskedLM.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-32") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd9be315721e005cd678d0577357a51b2c84acedf29da7d18b787530f6a18e82
- Size of remote file:
- 3.57 kB
- SHA256:
- dcbdad7837921c64ee779a01b1bb88dfa1958e32637430a4c172b006e6866f64
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