Instructions to use Hansollll/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hansollll/summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hansollll/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("Hansollll/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Hansollll/summarization: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Hansollll/summarization/resolve/main/training_args.bin
- Command line
-
hf download hf://Hansollll/summarization/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Hansollll/summarization/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 8d5423921b711759d0aa540ec3f08348645e3391999ac2f583b42116e6c32254
- Size of remote file:
- 3.64 kB
- SHA256:
- ad8ef92c6ac347bdae7420e06d6b5f04231eab752851e9a953e21abf29106f36
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