Instructions to use chi-vi/hirashiba-mt-jp-names with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chi-vi/hirashiba-mt-jp-names 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="chi-vi/hirashiba-mt-jp-names")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("chi-vi/hirashiba-mt-jp-names") model = AutoModelForSeq2SeqLM.from_pretrained("chi-vi/hirashiba-mt-jp-names") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b28bbc2bffe0afc046fdd8a10ddf594f68a47ee90eebfd642a8cb370a77fe718
- Size of remote file:
- 46.7 MB
- SHA256:
- f67497a2093e1d286714e33c0314186e28c8073ec126283b3c82110019656a9b
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