Instructions to use ethansimrm/opus_big_simple_tfidf_wce_unsampled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ethansimrm/opus_big_simple_tfidf_wce_unsampled with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ethansimrm/opus_big_simple_tfidf_wce_unsampled") model = AutoModelForSeq2SeqLM.from_pretrained("ethansimrm/opus_big_simple_tfidf_wce_unsampled", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e3f63d02b0b7a6e199fa18310eb8c04165f4ee2919cbac4831cb2f50efba1845
- Size of remote file:
- 3.77 kB
- SHA256:
- b183cb667854fd7b42444b9137058b3df13b3220a47d3bf3ca869b006cddd5b6
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