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:
- 97d86e79d2e4790099b50f16d73b986e9f9103dc6ff7031cd32fc3be7f78b10a
- Size of remote file:
- 3.06 kB
- SHA256:
- ed0342d0eb8a2adae6d3d626bed4283d9333c621d286faa770e07dddb4754a9f
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