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:
- 3fc585927e57037b1f166221f41794f7b21a9e9d58b8ad51bd2cc1b977210798
- Size of remote file:
- 4.79 kB
- SHA256:
- 52e63afcbb855f3f3063e94d3e0ec225c02e961f1effbb55c523d9fd50fff2c8
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