Instructions to use smartpim/k2t_ru_03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use smartpim/k2t_ru_03 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("smartpim/k2t_ru_03") model = AutoModelForSeq2SeqLM.from_pretrained("smartpim/k2t_ru_03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ca990d8b302d5ef448b3ae326acdd02accf350425b4132cdd7305b01bf54babd
- Size of remote file:
- 242 MB
- SHA256:
- 75f7f0782047e2a05d101e021cd9eed1946836f3dea2e8e629442acabcb2bab4
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