Instructions to use Eron011/e-SALIN_MODEL with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eron011/e-SALIN_MODEL 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="Eron011/e-SALIN_MODEL")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Eron011/e-SALIN_MODEL") model = AutoModelForSeq2SeqLM.from_pretrained("Eron011/e-SALIN_MODEL", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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pipeline_tag: translation
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language:
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- tl
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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pipeline_tag: translation
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language:
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- tl
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datasets:
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- e-SALIN/Tagalog_to_Cebuano_Datasets
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- e-SALIN/Tagalog_to_Waray_Datasets
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- e-SALIN/Tagalog_to_Ilocano_Datasets
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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