Instructions to use c2p-cmd/GPT2-Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use c2p-cmd/GPT2-Summarizer with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" 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("summarization", model="c2p-cmd/GPT2-Summarizer")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("c2p-cmd/GPT2-Summarizer") model = AutoModelForCausalLM.from_pretrained("c2p-cmd/GPT2-Summarizer") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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license: mit
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license: mit
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base_model:
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- openai-community/gpt2
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pipeline_tag: summarization
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library_name: transformers
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Fine-tuned version of GPT2 for summarization in pytorch and CoreML
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