Instructions to use Binaryy/bart-base-finetuned-findsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Binaryy/bart-base-finetuned-findsum 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="Binaryy/bart-base-finetuned-findsum")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Binaryy/bart-base-finetuned-findsum") model = AutoModelForSeq2SeqLM.from_pretrained("Binaryy/bart-base-finetuned-findsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Binaryy/bart-base-finetuned-findsum: direct link, hf CLI and curl.
- Browser
- Download file 2.11 MB
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https://huggingface.co/Binaryy/bart-base-finetuned-findsum/resolve/main/tokenizer.json
- Command line
-
hf download hf://Binaryy/bart-base-finetuned-findsum/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Binaryy/bart-base-finetuned-findsum/resolve/main/tokenizer.json
2.11 MB
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