Translation
Transformers
PyTorch
Safetensors
English
Vietnamese
t5
text2text-generation
en-vi
vi-en
text-generation-inference
Instructions to use gozu888/Envit5-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gozu888/Envit5-tuned 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="gozu888/Envit5-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("gozu888/Envit5-tuned") model = AutoModelForSeq2SeqLM.from_pretrained("gozu888/Envit5-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).
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## Model Details
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### Model Description
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# gozu888/Envit5-tuned
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This model is a fine-tuned version of VietAI/envit5-translation on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
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- Loss: 0.4565
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## Model Details
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### Model Description
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