Translation
Transformers
Safetensors
Tibetan
English
t5
text2text-generation
text-generation-inference
Instructions to use billingsmoore/prototype-tibetan-to-english-translation-v0 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-v0 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-v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("billingsmoore/prototype-tibetan-to-english-translation-v0") model = AutoModelForSeq2SeqLM.from_pretrained("billingsmoore/prototype-tibetan-to-english-translation-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- model.safetensors +1 -1
config.json
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"_name_or_path": "/home/j/Documents/Projects/MLotsawa/models/final-model/checkpoint-
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"_name_or_path": "/home/j/Documents/Projects/MLotsawa/models/final-model/checkpoint-1250000",
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