Summarization
Transformers
TensorBoard
Safetensors
English
bart
text2text-generation
Generated from Trainer
Instructions to use EE21/BART-ToSSimplify with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EE21/BART-ToSSimplify 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="EE21/BART-ToSSimplify")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("EE21/BART-ToSSimplify") model = AutoModelForSeq2SeqLM.from_pretrained("EE21/BART-ToSSimplify", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from EE21/BART-ToSSimplify: direct link, hf CLI and curl.
- Browser
- Download file 4.73 kB
-
https://huggingface.co/EE21/BART-ToSSimplify/resolve/main/training_args.bin
- Command line
-
hf download hf://EE21/BART-ToSSimplify/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/EE21/BART-ToSSimplify/resolve/main/training_args.bin
4.73 kB
- Xet hash:
- e1366e24f09e433f711b6e3e435ce982ae7a3f7956eddc46103752f27d1ff58c
- Size of remote file:
- 4.73 kB
- SHA256:
- 9043bce9f27982f73f662708f841b9ab031fca1b686f0dc750c97179ea1baf92
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