Instructions to use smartpim/k2t_ru_04 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smartpim/k2t_ru_04 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smartpim/k2t_ru_04") model = AutoModelForSeq2SeqLM.from_pretrained("smartpim/k2t_ru_04", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 346110970570b8676e4ed8623da4600fd9305b11db48cf6b5058510ac3dd1f7f
- Size of remote file:
- 242 MB
- SHA256:
- e04fed485b07cbf3fea5fc02fce802f7ccd6709fbe70be47d7aecb7a86969de1
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