Instructions to use Ayham/distilbert_distilgpt2_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_distilgpt2_summarization_cnn_dailymail with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_distilgpt2_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_distilgpt2_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f3d80c9a7a2ef960b031d5512b8c73cb3196f31eae5a6e96509252d6cbe6af
- Size of remote file:
- 658 MB
- SHA256:
- 3b5b64458befab2cfd59438353bac23bce5794064f5fa0684eb603cadf1c4261
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