Instructions to use QyrouNnet-AI/Summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use QyrouNnet-AI/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="QyrouNnet-AI/Summarizer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("QyrouNnet-AI/Summarizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 169 Bytes
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license: apache-2.0
language:
- en
base_model:
- HuggingFaceTB/SmolLM2-360M
pipeline_tag: summarization
library_name: transformers
tags:
- Summarizer
- Summarize
--- |