Instructions to use rbcurzon/opus-ph-ph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rbcurzon/opus-ph-ph with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rbcurzon/opus-ph-ph") model = AutoModelForSeq2SeqLM.from_pretrained("rbcurzon/opus-ph-ph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from rbcurzon/opus-ph-ph: direct link, hf CLI and curl.
- Browser
- Download file 5.91 kB
-
https://huggingface.co/rbcurzon/opus-ph-ph/resolve/main/training_args.bin
- Command line
-
hf download hf://rbcurzon/opus-ph-ph/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/rbcurzon/opus-ph-ph/resolve/main/training_args.bin
5.91 kB
- Xet hash:
- fff00a5242a680ec54b4b494335cbd2df9a07a5f7982b10d05f08d204c95f1c6
- Size of remote file:
- 5.91 kB
- SHA256:
- b9a4da7d1f7805ac730e39a13e1e0ee863442f98930e123242538858ecf99ebf
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