Instructions to use philippelaban/summary_loop46 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use philippelaban/summary_loop46 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="philippelaban/summary_loop46")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("philippelaban/summary_loop46") model = AutoModelForCausalLM.from_pretrained("philippelaban/summary_loop46") - Notebooks
- Google Colab
- Kaggle
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Parent(s): 4778b37
Update README.md
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README.md
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@@ -8,7 +8,7 @@ The model (based on a GPT2 base architecture) can be loaded in the following way
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```
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from transformers import GPT2LMHeadModel, GPT2TokenizerFast
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model = GPT2LMHeadModel.from_pretrained("philippelaban/summary_loop46"
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tokenizer = GPT2TokenizerFast.from_pretrained("philippelaban/summary_loop46")
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```
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```
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from transformers import GPT2LMHeadModel, GPT2TokenizerFast
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model = GPT2LMHeadModel.from_pretrained("philippelaban/summary_loop46")
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tokenizer = GPT2TokenizerFast.from_pretrained("philippelaban/summary_loop46")
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```
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