Instructions to use ethansimrm/opus_base_ailem_random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_ailem_random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_ailem_random") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_ailem_random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ethansimrm/opus_base_ailem_random: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/ethansimrm/opus_base_ailem_random/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ethansimrm/opus_base_ailem_random/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ethansimrm/opus_base_ailem_random/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- 38fac61c0652a61b9fee3f5f8983956687f81830cfb2cfd17ec73e6b4c7a8dec
- Size of remote file:
- 299 MB
- SHA256:
- 69f89c9afa6c252900d404faf8dadcf9f2a2bba055b781dc7c4c97d2d6d21d1d
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