Instructions to use ouiame/bert2gpt2frenchSumm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ouiame/bert2gpt2frenchSumm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ouiame/bert2gpt2frenchSumm") model = AutoModelForSeq2SeqLM.from_pretrained("ouiame/bert2gpt2frenchSumm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from ouiame/bert2gpt2frenchSumm: direct link, hf CLI and curl.
- Browser
- Download file 21.6 kB
-
https://huggingface.co/ouiame/bert2gpt2frenchSumm/resolve/main/sample_input.pkl
- Command line
-
hf download hf://ouiame/bert2gpt2frenchSumm/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/ouiame/bert2gpt2frenchSumm/resolve/main/sample_input.pkl
21.6 kB
- Xet hash:
- f2dd7835ce45a2486888897b99a6f27cb7450ea1ffe5c9bf3e01e22d706f0d82
- Size of remote file:
- 21.6 kB
- SHA256:
- ea06c9a75bab9a04d52dac5d0438bacc007539641246103e3fa03098ce1658db
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