Translation
Transformers
PyTorch
TensorBoard
Safetensors
mbart
text2text-generation
Generated from Trainer
Instructions to use japanese-denim/mbart-50-finetuned-eng-to-naga 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 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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("japanese-denim/mbart-50-finetuned-eng-to-naga") model = AutoModelForSeq2SeqLM.from_pretrained("japanese-denim/mbart-50-finetuned-eng-to-naga", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from japanese-denim/mbart-50-finetuned-eng-to-naga: direct link, hf CLI and curl.
- Browser
- Download file 4.79 kB
-
https://huggingface.co/japanese-denim/mbart-50-finetuned-eng-to-naga/resolve/main/training_args.bin
- Command line
-
hf download hf://japanese-denim/mbart-50-finetuned-eng-to-naga/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/japanese-denim/mbart-50-finetuned-eng-to-naga/resolve/main/training_args.bin
4.79 kB
- Xet hash:
- 7859be707d5ab21f7c6727d74f9a58d627648d1a1c20d05c49d7b30b53e89a95
- Size of remote file:
- 4.79 kB
- SHA256:
- db350b6932774f460a7706a47dbbf91bf311647dab05eef5efc8f4426df6c38d
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