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")# 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
- Xet hash:
- da558dd12c074cfe280f66e95a0c62d01d7060f738a18b693d528ead1e7d26e8
- Size of remote file:
- 2.95 GB
- SHA256:
- b2b44270bb5a8b90b41912baa74e5ae57145dd27361196fd6f567baad1a662f6
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