Instructions to use thunderboltc/marianmt-santali-sanlish-to-bangla_normalSplit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thunderboltc/marianmt-santali-sanlish-to-bangla_normalSplit with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("thunderboltc/marianmt-santali-sanlish-to-bangla_normalSplit") model = AutoModelForSeq2SeqLM.from_pretrained("thunderboltc/marianmt-santali-sanlish-to-bangla_normalSplit", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3917c23532be10079a5c221b99e78fb6e8964565cdd079f2da20c77f4cc367bc
- Size of remote file:
- 308 MB
- SHA256:
- 7944f84ff220e6299f5f2e9273315c7ef3fb722cc4bd3f7d36ba5f7ae1e968fb
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