Summarization
Transformers
TensorBoard
Safetensors
led
text2text-generation
Generated from Trainer
dialogue_summarization
conversation_summarization
summary
long_dialog_summarization
Instructions to use StDestiny/DialogLED-base-16384-dialogsum-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use StDestiny/DialogLED-base-16384-dialogsum-finetuned 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="StDestiny/DialogLED-base-16384-dialogsum-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("StDestiny/DialogLED-base-16384-dialogsum-finetuned") model = AutoModelForSeq2SeqLM.from_pretrained("StDestiny/DialogLED-base-16384-dialogsum-finetuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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## Intended uses & limitations
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Used for summarization
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## Training and evaluation data
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## Intended uses & limitations
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Used for conversation summarization. Might work for long dialouges.
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## Training and evaluation data
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