Instructions to use ethansimrm/opus_big_simple_freq_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_simple_freq_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_simple_freq_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_simple_freq_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from ethansimrm/opus_big_simple_freq_wce: direct link, hf CLI and curl.
- Browser
- Download file 1.85 GB
-
https://huggingface.co/ethansimrm/opus_big_simple_freq_wce/resolve/main/optimizer.pt
- Command line
-
hf download hf://ethansimrm/opus_big_simple_freq_wce/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/ethansimrm/opus_big_simple_freq_wce/resolve/main/optimizer.pt
1.85 GB
- Xet hash:
- dfa4d3975d924004816c9c14545757ff3c01680f2bfd6868143ad1e7376a3d47
- Size of remote file:
- 1.85 GB
- SHA256:
- 623355e75f46333ac7063cac2faa61ee6310cd11f3ce678bf973bc7ad41d1559
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