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 pytorch_model.bin from basso4/model_machine_translation_en_to_vi: direct link, hf CLI and curl.
- Browser
- Download file 287 MB
-
https://huggingface.co/basso4/model_machine_translation_en_to_vi/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://basso4/model_machine_translation_en_to_vi/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/basso4/model_machine_translation_en_to_vi/resolve/main/pytorch_model.bin
287 MB
- Xet hash:
- 32aa728dd5ef55c708bb11b90dcd72872c9799362c58fbb94e2ca8f652c2a5c6
- Size of remote file:
- 287 MB
- SHA256:
- 90e033970228905c85bca4ae069029b62c6d2efcf4773e87fc8ccfa842c90236
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