Instructions to use Ayham/distilbert_gpt2_summarization_cnndm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_gpt2_summarization_cnndm with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_gpt2_summarization_cnndm") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_gpt2_summarization_cnndm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c213fb0785dfe51fe2f4664cc60fa4495e7e9c8b0cb7b25c1f900b2e5fa1a02b
- Size of remote file:
- 897 MB
- SHA256:
- a1d90e0a69f25e328054433ae0b70f1034cc086fefa098f38911235774eb034c
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