Instructions to use japanese-denim/mbart-50-finetuned-eng-to-naga-version-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use japanese-denim/mbart-50-finetuned-eng-to-naga-version-2 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="japanese-denim/mbart-50-finetuned-eng-to-naga-version-2")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("japanese-denim/mbart-50-finetuned-eng-to-naga-version-2") model = AutoModelForSeq2SeqLM.from_pretrained("japanese-denim/mbart-50-finetuned-eng-to-naga-version-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 391c3e5e111ccb0f28d08b8a187aaeb1bf21491e290ca8f228853f3dc60b6e32
- Size of remote file:
- 17.1 MB
- SHA256:
- dd373880288e6c7079a0c0573a5163926bb9862dbee34a4b8dea126302ead686
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