Translation
Transformers
Safetensors
Tibetan
English
t5
text2text-generation
tibetan
english
nlp
buddhism
dharma
text-generation-inference
Instructions to use billingsmoore/prototype-tibetan-to-english-translation-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use billingsmoore/prototype-tibetan-to-english-translation-v1 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/prototype-tibetan-to-english-translation-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("billingsmoore/prototype-tibetan-to-english-translation-v1") model = AutoModelForSeq2SeqLM.from_pretrained("billingsmoore/prototype-tibetan-to-english-translation-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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# Model Card for tibetan-to-english-translation
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This model is a neural machine translation model for translating Literary Tibetan to English.
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The model expects Tibetan text in either Tibetan script or transliterated according to THL Simplified Phonetic Transliteration as an input and outputs an English translation.
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# Model Card for tibetan-to-english-translation
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This model is a prototype and is not recommended for ordinary usage. Please use one of the MLotsawa models for anything other than comparison benchmarking.
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This model is a neural machine translation model for translating Literary Tibetan to English.
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The model expects Tibetan text in either Tibetan script or transliterated according to THL Simplified Phonetic Transliteration as an input and outputs an English translation.
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