Instructions to use ethansimrm/opus_base_simple_freq_wce_unsampled 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_unsampled 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_unsampled") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_freq_wce_unsampled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ethansimrm/opus_base_simple_freq_wce_unsampled: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/ethansimrm/opus_base_simple_freq_wce_unsampled/resolve/main/optimizer.pt
- Command line
-
hf download hf://ethansimrm/opus_base_simple_freq_wce_unsampled/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ethansimrm/opus_base_simple_freq_wce_unsampled/resolve/main/optimizer.pt
597 MB
- Xet hash:
- 537280d8c365e25218852f8135bd6de06b59c51f6e59921a0de8c6158fc18d4e
- Size of remote file:
- 597 MB
- SHA256:
- ff7583b7db5b4887a66069b42fed890ab821a6fad290c0867c594216272c4a38
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