Instructions to use ptran74/DSPFirst-Finetuning-4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ptran74/DSPFirst-Finetuning-4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ptran74/DSPFirst-Finetuning-4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ptran74/DSPFirst-Finetuning-4") model = AutoModelForQuestionAnswering.from_pretrained("ptran74/DSPFirst-Finetuning-4") - Notebooks
- Google Colab
- Kaggle
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README.md
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should probably proofread and complete it, then remove this comment. -->
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# Important Note:
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`load_best_model_at_end` is not working properly (I
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# DSPFirst-Finetuning-4
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should probably proofread and complete it, then remove this comment. -->
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# Important Note:
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`load_best_model_at_end` is not working properly (I specified `metric_for_best_model` on another training but it still does not work), but the training results still show a valid trend.
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# DSPFirst-Finetuning-4
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