Instructions to use KETI-NLP/long-ke-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/long-ke-t5-base with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/long-ke-t5-base") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/long-ke-t5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from KETI-NLP/long-ke-t5-base: direct link, hf CLI and curl.
- Browser
- Download file 1.59 MB
-
https://huggingface.co/KETI-NLP/long-ke-t5-base/resolve/main/spiece.model
- Command line
-
hf download hf://KETI-NLP/long-ke-t5-base/spiece.model
-
curl -L -o spiece.model https://huggingface.co/KETI-NLP/long-ke-t5-base/resolve/main/spiece.model
1.59 MB
- Xet hash:
- 6587938b478e5f3e1b8abf404ab1a98493f459b08709a3c10f0928b24262a6df
- Size of remote file:
- 1.59 MB
- SHA256:
- 8084f94443e97fa1305bf48cf532a7ced0631070f2f570c156bfa1b3c72913dd
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