Translation
Transformers
PyTorch
English
Norwegian
Norwegian Bokmål
marian
text2text-generation
bicycleterminology
bicycle
cycling
Instructions to use DanielHellebust/cyclingo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DanielHellebust/cyclingo with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("translation", model="DanielHellebust/cyclingo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DanielHellebust/cyclingo") model = AutoModelForSeq2SeqLM.from_pretrained("DanielHellebust/cyclingo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from DanielHellebust/cyclingo: direct link, hf CLI and curl.
- Browser
- Download file 1.86 GB
-
https://huggingface.co/DanielHellebust/cyclingo/resolve/main/optimizer.pt
- Command line
-
hf download hf://DanielHellebust/cyclingo/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/DanielHellebust/cyclingo/resolve/main/optimizer.pt
1.86 GB
- Xet hash:
- 56a649fe62358a530d54939f94e85e63be9633a1673e78ade1c2fb62af655981
- Size of remote file:
- 1.86 GB
- SHA256:
- ec6ebd4e3834191476bbae5e6a657d36a1bf398a7bf5b1bba9c76dc041d058aa
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