Instructions to use artemnech/enrut5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use artemnech/enrut5-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("artemnech/enrut5-base") model = AutoModelForSeq2SeqLM.from_pretrained("artemnech/enrut5-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download spiece.model from artemnech/enrut5-base: direct link, hf CLI and curl.
- Browser
- Download file 1.02 MB
-
https://huggingface.co/artemnech/enrut5-base/resolve/main/spiece.model
- Command line
-
hf download hf://artemnech/enrut5-base/spiece.model
-
curl -L -o spiece.model https://huggingface.co/artemnech/enrut5-base/resolve/main/spiece.model
1.02 MB
- Xet hash:
- cb787838fc8417a9bc778a9535f8d09b871e92c09b7fb8a460bb7525edeb1b5a
- Size of remote file:
- 1.02 MB
- SHA256:
- c5e0e5c741793a5698e41e8c4389ee638893286e2ba2f530bedffaae215441ec
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