Instructions to use PaceKW/24PDInsight-Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PaceKW/24PDInsight-Summarization with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PaceKW/24PDInsight-Summarization") model = AutoModelForSeq2SeqLM.from_pretrained("PaceKW/24PDInsight-Summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 00fa5d58f885454d85d7515228749d0482ebbcd9c3dbb378ceac1696920c8365
- Size of remote file:
- 5.24 kB
- SHA256:
- 063652beae52bad7dc950f385b7d08a45fffc612f57566108ee52aa027674862
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.