Instructions to use ethansimrm/opus_base_simple_tfidf_wce with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_base_simple_tfidf_wce with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_base_simple_tfidf_wce", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from ethansimrm/opus_base_simple_tfidf_wce: direct link, hf CLI and curl.
- Browser
- Download file 3.77 kB
-
https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/training_args.bin
- Command line
-
hf download hf://ethansimrm/opus_base_simple_tfidf_wce/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/ethansimrm/opus_base_simple_tfidf_wce/resolve/main/training_args.bin
3.77 kB
- Xet hash:
- 26663ab72fffa5086c0e2e6de8e71f2e3de2b6f6155afb96ad3f8aba5b2f725a
- Size of remote file:
- 3.77 kB
- SHA256:
- a905ba110b0d9116123e168c70df7fb6514427860ac3c19aa00cc6bd4069f0c4
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