Instructions to use ethansimrm/opus_big_ailem_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_ailem_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_ailem_random") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_ailem_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/opus_big_ailem_random: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/opus_big_ailem_random/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/opus_big_ailem_random/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/opus_big_ailem_random/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- ff4a19f854ea83225fe3fc5ef525bec45d42045f12d0b007f5f913488c8bc6dc
- Size of remote file:
- 3.77 kB
- SHA256:
- 0525360cd05bfbdd2df5f26e0857e71611200a70f3433da967d91c1e94623987
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