Instructions to use Danish-summarisation/DanSumT5-pilot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Danish-summarisation/DanSumT5-pilot 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="Danish-summarisation/DanSumT5-pilot")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Danish-summarisation/DanSumT5-pilot") model = AutoModelForSeq2SeqLM.from_pretrained("Danish-summarisation/DanSumT5-pilot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fe908df9cd6d0282f1522fee750819bd79c0521c44c7e11e7009aef543b7a3de
- Size of remote file:
- 559 Bytes
- SHA256:
- bb514f3549501e7fbfb775146d40e9d3027ea20fa05036f069600337153c15ff
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.