Instructions to use krinal214/bert-all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krinal214/bert-all with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="krinal214/bert-all")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("krinal214/bert-all") model = AutoModelForQuestionAnswering.from_pretrained("krinal214/bert-all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4f4ca8a281875227f95818b198a208b24f7541dd3989f4340db36034c2632ba0
- Size of remote file:
- 709 MB
- SHA256:
- 3b0119df86880d9c40684d478b6a3dd7d70208a45f4276d6a28ed115b48e454c
路
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