Translation
Transformers
PyTorch
Safetensors
English
Vietnamese
t5
text2text-generation
en-vi
vi-en
text-generation-inference
Instructions to use sting8k/Envit5-tuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sting8k/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="sting8k/Envit5-tuned")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("sting8k/Envit5-tuned") model = AutoModelForSeq2SeqLM.from_pretrained("sting8k/Envit5-tuned", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Commit ·
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Parent(s): 2d75783
Create README.md
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README.md
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---
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license: apache-2.0
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datasets:
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- mt_eng_vietnamese
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language:
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- en
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- vi
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tags:
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- translation
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- t5
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- en-vi
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- vi-en
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---
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# Model Card for Model ID
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<!-- Provide a quick summary of what the model is/does. -->
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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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<!-- Provide a longer summary of what this model is. -->
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- **Developed by:** gozu888
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- **Model type:** T5
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- **Finetuned from model [optional]:** [VietAI/envit5-translation](https://huggingface.co/VietAI/envit5-translation)
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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