Instructions to use imamassi/fine-tuning-learning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use imamassi/fine-tuning-learning with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="imamassi/fine-tuning-learning")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("imamassi/fine-tuning-learning") model = AutoModelForSequenceClassification.from_pretrained("imamassi/fine-tuning-learning") - Notebooks
- Google Colab
- Kaggle
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README.md
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- ag_news
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- text: "After a Rocky Year, Zuckerberg Lays Out Meta’s Road Map to Employees."
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example_title: "
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---
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Label 0: World
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- ag_news
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widget:
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- text: "After a Rocky Year, Zuckerberg Lays Out Meta’s Road Map to Employees."
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example_title: "Zuckerberg Meta's road map"
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- text: "A First Try of Apple’s $3,500 Vision Pro Headset"
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example_title: "Vision pro"
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---
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Label 0: World
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