Instructions to use CodeIsAbstract/denoice-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CodeIsAbstract/denoice-finetuned-xsum with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum") model = AutoModelForSeq2SeqLM.from_pretrained("CodeIsAbstract/denoice-finetuned-xsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from CodeIsAbstract/denoice-finetuned-xsum: direct link, hf CLI and curl.
- Browser
- Download file 62.3 MB
-
https://huggingface.co/CodeIsAbstract/denoice-finetuned-xsum/resolve/0bcc9162ac688a34c3eaf0af07caa9bf175fc344/model.safetensors
- Command line
-
hf download hf://CodeIsAbstract/denoice-finetuned-xsum@0bcc9162ac688a34c3eaf0af07caa9bf175fc344/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/CodeIsAbstract/denoice-finetuned-xsum/resolve/0bcc9162ac688a34c3eaf0af07caa9bf175fc344/model.safetensors
62.3 MB
- Xet hash:
- 23313794b8a214209c9b4442bd0c1522572b8b43e76579988cd30c43b52cfde1
- Size of remote file:
- 62.3 MB
- SHA256:
- ec5e19390f915af7d82e4e4d4ab59cbb91dfd4e2451e13a4fd5b2fcb2756dcd2
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