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:
- 6828b6f00882985f13cb903b5ea830524946b1f1929d870c85626f307025770c
- Size of remote file:
- 923 MB
- SHA256:
- 495127f14b870fe57639ecd59beacae76655b6fbccf4f3e62f317b48f3a9174a
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