Translation
Transformers
Safetensors
English
Russian
marian
text2text-generation
medical
health
domain-adaptation
finetuned-model
Instructions to use SirEthanK/opus-mt-en-ru-health-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SirEthanK/opus-mt-en-ru-health-finetuned 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="SirEthanK/opus-mt-en-ru-health-finetuned")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("SirEthanK/opus-mt-en-ru-health-finetuned") model = AutoModelForMultimodalLM.from_pretrained("SirEthanK/opus-mt-en-ru-health-finetuned") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5af15ba8c4db5fe08d7f4b1cf96169a9f795eab9d5c5c4d1cc13fa12391db01b
- Size of remote file:
- 305 MB
- SHA256:
- e86f3d8c5a8e97ecb48a015eff739d38ffb1d817920577d143af058f473e5a25
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