Instructions to use Anonumous/transformer-en-ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Anonumous/transformer-en-ru with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Anonumous/transformer-en-ru") model = AutoModelForSeq2SeqLM.from_pretrained("Anonumous/transformer-en-ru") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c6d80a384fe1ee7f00a2feec6a8761e0e9ced313a5646f1bcd2bad7ddede56e8
- Size of remote file:
- 4.28 kB
- SHA256:
- e3a0ea269d505eb81094be7546c54ee6c89bbf0612d0a11c4ea077b97a9cdfb2
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