Instructions to use Asmit/bert-finetuned-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Asmit/bert-finetuned-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Asmit/bert-finetuned-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Asmit/bert-finetuned-squad") model = AutoModelForQuestionAnswering.from_pretrained("Asmit/bert-finetuned-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training complete on 16.1.2024
Browse files
README.md
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# bert-finetuned-squad
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on
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## Model description
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### Framework versions
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- Transformers 4.
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- Pytorch 2.1.
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- Datasets 2.
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- Tokenizers 0.
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# bert-finetuned-squad
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This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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## Model description
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.1.2+cpu
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- Datasets 2.12.0
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- Tokenizers 0.13.2
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