Instructions to use Shabdansh01/bert-finetuned-squad-accelerate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Shabdansh01/bert-finetuned-squad-accelerate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Shabdansh01/bert-finetuned-squad-accelerate")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Shabdansh01/bert-finetuned-squad-accelerate") model = AutoModelForQuestionAnswering.from_pretrained("Shabdansh01/bert-finetuned-squad-accelerate") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91d46dea524d8ff309da4b36a0ff58491d18d5855dc2fa03a5d8483ad8abb088
- Size of remote file:
- 431 MB
- SHA256:
- 623d646c659b89d9db39990a9058f0784ccb0cd4928fdc69b57f0dc902da1251
路
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