Translation
Transformers
Safetensors
Tibetan
English
t5
text2text-generation
Tibetan
Buddhism
dharma
text-generation-inference
Instructions to use billingsmoore/mlotsawa-ground-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billingsmoore/mlotsawa-ground-base with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "translation" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("translation", model="billingsmoore/mlotsawa-ground-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("billingsmoore/mlotsawa-ground-base") model = AutoModelForSeq2SeqLM.from_pretrained("billingsmoore/mlotsawa-ground-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Model Card for mlotsawa-ground-small
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This model is a transformers machine translation model for translating Tibetan Buddhist texts to English, produced as part of the larger [MLotsawa project](https://github.com/billingsmoore/MLotsawa)
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## Model Details
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# Model Card for mlotsawa-ground-small
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This model is a transformers machine translation model for translating Tibetan Buddhist texts to English, produced as part of the larger [MLotsawa project](https://github.com/billingsmoore/MLotsawa) in collaboration with the Tibetan and Himalayan Library at the University of Virginia.
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## Model Details
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