Instructions to use krinal214/bert-all-translated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all-translated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all-translated")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all-translated") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all-translated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b8396daa9401e523f236482112a994bbdcf58f193a3856e9fe28d862d578005
- Size of remote file:
- 709 MB
- SHA256:
- 2acc10c714e1bd481839cf81812f50a60ad6392650849ff3726590f483f20be3
路
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