Instructions to use ArchCoder/fine-tuned-bart-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArchCoder/fine-tuned-bart-large 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="ArchCoder/fine-tuned-bart-large")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ArchCoder/fine-tuned-bart-large") model = AutoModelForSeq2SeqLM.from_pretrained("ArchCoder/fine-tuned-bart-large") - 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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language:
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- en
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metrics:
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- rouge
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base_model:
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- facebook/bart-large
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library_name: transformers
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tags:
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- text2text-generation
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- summarization
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- fine-tuned
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