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 training_args.bin from DanielHellebust/cyclingo: direct link, hf CLI and curl.
- Browser
- Download file 3.57 kB
-
https://huggingface.co/DanielHellebust/cyclingo/resolve/main/training_args.bin
- Command line
-
hf download hf://DanielHellebust/cyclingo/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DanielHellebust/cyclingo/resolve/main/training_args.bin
3.57 kB
- Xet hash:
- e5b707f3d359aeb1271085797503e985243e2b16e0c0dda3ac5d0254255ba427
- Size of remote file:
- 3.57 kB
- SHA256:
- 0c339b48e431102c24b1b77c27ac88c9ccab9d3f286d0e028efdd6f0d754a8eb
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