Instructions to use KETI-NLP/long-ke-t5-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use KETI-NLP/long-ke-t5-small with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("KETI-NLP/long-ke-t5-small") model = AutoModelForSeq2SeqLM.from_pretrained("KETI-NLP/long-ke-t5-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from KETI-NLP/long-ke-t5-small: direct link, hf CLI and curl.
- Browser
- Download file 439 MB
-
https://huggingface.co/KETI-NLP/long-ke-t5-small/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://KETI-NLP/long-ke-t5-small/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/KETI-NLP/long-ke-t5-small/resolve/main/pytorch_model.bin
439 MB
- Xet hash:
- 10a1acaae8d280d01c87dad16b50ba019f9d44de2bba0b7d749f9844065df5f3
- Size of remote file:
- 439 MB
- SHA256:
- 3ad27fe8e5e34009fc1a2ebd0654a56043b879a0fe26a0ffd0b0fb530093cf7a
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