Instructions to use ConnorLin/summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ConnorLin/summarization with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ConnorLin/summarization") model = AutoModelForSeq2SeqLM.from_pretrained("ConnorLin/summarization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from ConnorLin/summarization: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/ConnorLin/summarization/resolve/main/model.safetensors
- Command line
-
hf download hf://ConnorLin/summarization/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/ConnorLin/summarization/resolve/main/model.safetensors
990 MB
- Xet hash:
- 5a4c24d9c88cb5a8a7b505cd481cdfe20d47d20faf3e98b7d9abc7670e2da285
- Size of remote file:
- 990 MB
- SHA256:
- ec7648d626024084bc154e64cb13607f53811ce63470530a4d80cad3fba12b06
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