Instructions to use Ayham/distilbert_gpt2_summarization_xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_gpt2_summarization_xsum with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_gpt2_summarization_xsum") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_gpt2_summarization_xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
57991d7 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:58507ce38218a728904ad8edef8813e13407cde9a15b4e05e4993b1e855e634f
size 2991
|