Instructions to use ethansimrm/opus_base_simple_freq_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_simple_freq_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_simple_freq_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_freq_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ethansimrm/opus_base_simple_freq_wce: direct link, hf CLI and curl.
- Browser
- Download file 299 MB
-
https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ethansimrm/opus_base_simple_freq_wce/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ethansimrm/opus_base_simple_freq_wce/resolve/main/pytorch_model.bin
299 MB
- Xet hash:
- eaa52d956ffced63c475b089fbdd3755cd829c3dc6e8f40ac30a3d8d09991e82
- Size of remote file:
- 299 MB
- SHA256:
- 9222ffb555ada417614c405b02e05fbffe5d1c2f3c932f4c58e3d1c016773d31
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