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 pytorch_model.bin from DanielHellebust/cyclingo: direct link, hf CLI and curl.
- Browser
- Download file 930 MB
-
https://huggingface.co/DanielHellebust/cyclingo/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DanielHellebust/cyclingo/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DanielHellebust/cyclingo/resolve/main/pytorch_model.bin
930 MB
- Xet hash:
- 8307e975baed27048ef7ecbfa7ec542ff17c10455d07d51e41568e98107da44c
- Size of remote file:
- 930 MB
- SHA256:
- 780645fbf064497871dfc436d34b257f6702407dc4fc87e615c4788ed76d0407
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.