Instructions to use krinal214/bert-all-squad_que_translated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all-squad_que_translated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all-squad_que_translated")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all-squad_que_translated") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all-squad_que_translated") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df6bd2417fb8edf67db141a6e1a9c51b249b08def6424f9e4ba28f78cbad9a17
- Size of remote file:
- 709 MB
- SHA256:
- 8b254abc3e64db137db67c69f0a1626e84dbd8decb0f0af1db1a168ee5d72f3f
路
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