Instructions to use regisss/bert-pretraining-gaudi-2-batch-size-64 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-64 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-64")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-64") model = AutoModelForMaskedLM.from_pretrained("regisss/bert-pretraining-gaudi-2-batch-size-64") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8595b04c3a7b3fc0fc3838ccde3f3adea98e49afa90db1696aaf305476cffec3
- Size of remote file:
- 541 MB
- SHA256:
- 61ef1f133c84837c3b4ff3471dc8b64f0375158b8488adc5fb22bbd7de981e44
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