Translation
Transformers
PyTorch
marian
text2text-generation
Generated from Trainer
Eval Results (legacy)
Instructions to use basso4/model_machine_translation_en_to_vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use basso4/model_machine_translation_en_to_vi 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="basso4/model_machine_translation_en_to_vi")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("basso4/model_machine_translation_en_to_vi") model = AutoModelForSeq2SeqLM.from_pretrained("basso4/model_machine_translation_en_to_vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from basso4/model_machine_translation_en_to_vi: direct link, hf CLI and curl.
- Browser
- Download file 4.22 kB
-
https://huggingface.co/basso4/model_machine_translation_en_to_vi/resolve/main/training_args.bin
- Command line
-
hf download hf://basso4/model_machine_translation_en_to_vi/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/basso4/model_machine_translation_en_to_vi/resolve/main/training_args.bin
4.22 kB
- Xet hash:
- c4996979aa8589803d0d6990059aecb55dd6ff02e8f34b00568fc27a7a7da269
- Size of remote file:
- 4.22 kB
- SHA256:
- d641f53e6c5c17f3ddabbcb0f01887347802f7a670d4bd7dcb690d760d3e2ba7
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