Instructions to use jasong03/model-translate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jasong03/model-translate with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("jasong03/model-translate") model = AutoModelForSeq2SeqLM.from_pretrained("jasong03/model-translate", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from jasong03/model-translate: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/jasong03/model-translate/resolve/main/training_args.bin
- Command line
-
hf download hf://jasong03/model-translate/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/jasong03/model-translate/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 5ef8a211d0fb2a11037fcc56d6432bf7d4fd2e2adefc97ae10ecd04efe9bb48c
- Size of remote file:
- 5.3 kB
- SHA256:
- 81deb56b5e82d7001bcc888a41a74fc8c2ddc0612f58053768650f477b3da027
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