Instructions to use ptran74/DSPFirst-Finetuning-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ptran74/DSPFirst-Finetuning-2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ptran74/DSPFirst-Finetuning-2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ptran74/DSPFirst-Finetuning-2") model = AutoModelForQuestionAnswering.from_pretrained("ptran74/DSPFirst-Finetuning-2") - Notebooks
- Google Colab
- Kaggle
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README.md
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- F1: 72.3603
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# Dataset
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A visualization of the dataset can be found [here](https://github.gatech.edu/pages/VIP-ITS/textbook_SQuAD_explore/explore/textbookv1.0/textbook/)
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```
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DatasetDict({
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train: Dataset({
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- F1: 72.3603
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# Dataset
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A visualization of the dataset can be found [here](https://github.gatech.edu/pages/VIP-ITS/textbook_SQuAD_explore/explore/textbookv1.0/textbook/). The split between train and test is 80% and 20% respectively.
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```
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DatasetDict({
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train: Dataset({
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