Summarization
Transformers
PyTorch
TensorBoard
English
led
text2text-generation
Generated from Trainer
Instructions to use DunnBC22/led-base-16384-text_summarization_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DunnBC22/led-base-16384-text_summarization_data 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="DunnBC22/led-base-16384-text_summarization_data")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DunnBC22/led-base-16384-text_summarization_data") model = AutoModelForSeq2SeqLM.from_pretrained("DunnBC22/led-base-16384-text_summarization_data") - Notebooks
- Google Colab
- Kaggle
All Dunn!
Browse files- .DS_Store +3 -0
- .gitattributes +1 -0
- generation_config.json +8 -0
- pytorch_model.bin +1 -1
- runs/.DS_Store +3 -0
- runs/Mar08_00-04-27_Brians-Mac-mini/events.out.tfevents.1678255471.Brians-Mac-mini.13327.0 +2 -2
- runs/Mar08_00-04-27_Brians-Mac-mini/events.out.tfevents.1678379832.Brians-Mac-mini.local.13327.2 +3 -0
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generation_config.json
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