Instructions to use autoevaluate/translation-not-evaluated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use autoevaluate/translation-not-evaluated with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("autoevaluate/translation-not-evaluated") model = AutoModelForSeq2SeqLM.from_pretrained("autoevaluate/translation-not-evaluated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from autoevaluate/translation-not-evaluated: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/autoevaluate/translation-not-evaluated/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://autoevaluate/translation-not-evaluated/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/autoevaluate/translation-not-evaluated/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- 712cd91cb5ec84ddb45c46a118541d65a6ffba3c2b6eb9c96528acf17f906fb5
- Size of remote file:
- 299 MB
- SHA256:
- 95aef83b6e5444afbe5e3554a48a85817ed7334c51b09b3f8f10326c64ed5c2b
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