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
Upload T5ForConditionalGeneration
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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"_name_or_path": "./trained/
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"architectures": [
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"T5ForConditionalGeneration"
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"_name_or_path": "./trained/transT",
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pytorch_model.bin
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