Instructions to use Tritkoman/EN-ROM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Tritkoman/EN-ROM 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="Tritkoman/EN-ROM")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Tritkoman/EN-ROM") model = AutoModelForSeq2SeqLM.from_pretrained("Tritkoman/EN-ROM") - Notebooks
- Google Colab
- Kaggle
Add multilingual to the language tag
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by lbourdois - opened
README.md
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tags:
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- autotrain
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- translation
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language:
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- en
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- hi
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datasets:
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- Tritkoman/autotrain-data-rusynpann
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co2_eq_emissions: 30.068537136776726
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---
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language:
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- en
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- hi
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- multilingual
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tags:
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- autotrain
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- translation
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datasets:
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- Tritkoman/autotrain-data-rusynpann
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co2_eq_emissions: 30.068537136776726
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