Instructions to use Rumesh/mbart-tr-simp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Rumesh/mbart-tr-simp with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Rumesh/mbart-tr-simp") model = AutoModelForSeq2SeqLM.from_pretrained("Rumesh/mbart-tr-simp", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
Verified signature- Adding `safetensors` variant of this model (a777d446f534df1977b4c6cf583718039ac02353) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>380481b
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add tokenizer
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add model
5f94e8b -
initial commit
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