Instructions to use CLAck/indo-mixed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CLAck/indo-mixed 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="CLAck/indo-mixed")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CLAck/indo-mixed") model = AutoModelForSeq2SeqLM.from_pretrained("CLAck/indo-mixed") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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### Training results
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MIXED
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| Epoch | Bleu |
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| 1.0 | 24.2579 |
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| 5.0 | 37.3488 |
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FINETUNING
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| Epoch | Bleu |
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| 6.0 | 34.1676 |
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### Training results
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MIXED
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| Epoch | Bleu |
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|:-----:|:-------:|
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| 1.0 | 24.2579 |
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| 5.0 | 37.3488 |
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FINETUNING
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| Epoch | Bleu |
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|:-----:|:-------:|
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| 6.0 | 34.1676 |
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