Instructions to use Andranik/TestQaV1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Andranik/TestQaV1 with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Andranik/TestQaV1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Andranik/TestQaV1") model = AutoModelForQuestionAnswering.from_pretrained("Andranik/TestQaV1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete train_results.json
Browse files- train_results.json +0 -8
train_results.json
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{
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"epoch": 3.0,
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"train_loss": 1.2300072187258873,
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"train_runtime": 1799.8112,
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"train_samples": 216,
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"train_samples_per_second": 0.36,
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"train_steps_per_second": 0.045
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}
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