Instructions to use ethansimrm/opus_big_wce_adaptified with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_wce_adaptified with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_wce_adaptified") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_wce_adaptified", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/opus_big_wce_adaptified: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/opus_big_wce_adaptified/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/opus_big_wce_adaptified/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/opus_big_wce_adaptified/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- e4b4b4b4d5aab7aab593696fc15b7af7317e8b4526bca2813bcfab4ded7f0a2a
- Size of remote file:
- 3.77 kB
- SHA256:
- edf2021650916951d996ad74978de6ba9cbe3e25bd074e8ad6124d4670a0477b
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