Instructions to use moussaKam/barthez-orangesum-title with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use moussaKam/barthez-orangesum-title 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="moussaKam/barthez-orangesum-title")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("moussaKam/barthez-orangesum-title") model = AutoModelForSeq2SeqLM.from_pretrained("moussaKam/barthez-orangesum-title") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d38ecbaecae1e7f65cfa630a96a4ef70b232f000f534b7b0188b4bb96dae27c
- Size of remote file:
- 864 MB
- SHA256:
- 01d73a562a65a41daab5c196edd96afd4b2d66f365779bfdb60bb377593d8bc4
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