Instructions to use Andronius17/answer_text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andronius17/answer_text with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Andronius17/answer_text")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Andronius17/answer_text") model = AutoModelForQuestionAnswering.from_pretrained("Andronius17/answer_text") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): c1ea66d
Training in progress epoch 28
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README.md
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 3.
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- Validation Loss: 3.9762
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- Epoch:
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## Model description
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### Framework versions
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 3.9458
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- Validation Loss: 3.9762
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- Epoch: 28
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## Model description
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### Framework versions
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