Instructions to use ouiame/bert2gpt2Summy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ouiame/bert2gpt2Summy with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ouiame/bert2gpt2Summy") model = AutoModelForSeq2SeqLM.from_pretrained("ouiame/bert2gpt2Summy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from ouiame/bert2gpt2Summy: direct link, hf CLI and curl.
- Browser
- Download file 50.1 kB
-
https://huggingface.co/ouiame/bert2gpt2Summy/resolve/main/sample_input.pkl
- Command line
-
hf download hf://ouiame/bert2gpt2Summy/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/ouiame/bert2gpt2Summy/resolve/main/sample_input.pkl
50.1 kB
- Xet hash:
- 9ccd858a36cc82a7961e35ac919344d8a73bdd35916eda76229c8a963389667b
- Size of remote file:
- 50.1 kB
- SHA256:
- 0579594aabebc50383aa5e7606cd971aff480a689b91492d13d27a47b3e86556
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