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:
- 8899cef545132f7b085718481fd1dcf7e225e3f927455e481c8faeb54d9d9b58
- Size of remote file:
- 392 kB
- SHA256:
- 48136a2f79edad8e7708dc3ea58f7dfbbe0d52b8c47431cd1cf340cd8da77676
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