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")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("DanielHellebust/cyclingo") model = AutoModelForSeq2SeqLM.from_pretrained("DanielHellebust/cyclingo") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8307e975baed27048ef7ecbfa7ec542ff17c10455d07d51e41568e98107da44c
- Size of remote file:
- 930 MB
- SHA256:
- 780645fbf064497871dfc436d34b257f6702407dc4fc87e615c4788ed76d0407
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