Instructions to use Ghani-25/SummAbsFR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ghani-25/SummAbsFR with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ghani-25/SummAbsFR") model = AutoModelForSeq2SeqLM.from_pretrained("Ghani-25/SummAbsFR", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ghani-25/SummAbsFR: direct link, hf CLI and curl.
- Browser
- Download file 557 MB
-
https://huggingface.co/Ghani-25/SummAbsFR/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ghani-25/SummAbsFR/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ghani-25/SummAbsFR/resolve/main/pytorch_model.bin
557 MB
- Xet hash:
- e6805e671900001d59d419a586edee0b763f8d3c83a979f3e3c8eec0e9165fa0
- Size of remote file:
- 557 MB
- SHA256:
- ab62b0dc500d41d794f136e8e036441d32270ef57cf92b500f8142b396686cbb
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