Instructions to use MohamedZaitoon/bart-fine-tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MohamedZaitoon/bart-fine-tune 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="MohamedZaitoon/bart-fine-tune")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("MohamedZaitoon/bart-fine-tune") model = AutoModelForSeq2SeqLM.from_pretrained("MohamedZaitoon/bart-fine-tune") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d8a14c2d6d6504393df1a3ddc3d430fa9bdc0b5c5d269c6bb27c91fa2f00d3b
- Size of remote file:
- 1.63 GB
- SHA256:
- ef4a49f404146a6b10721374f12a4a1135fdffb6a0b0dabfd5f969d6f28043cf
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