Translation
Transformers
Safetensors
Indonesian
Mandar
mt5
text2text-generation
seq2seq
indonesian
mandar
id-mdr
Instructions to use hasmar03/mt5_id2md with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hasmar03/mt5_id2md 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="hasmar03/mt5_id2md")# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hasmar03/mt5_id2md") model = AutoModelForSeq2SeqLM.from_pretrained("hasmar03/mt5_id2md") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
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- type: chrf
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name: chrF (validation)
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value: 41.65
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args:
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word_order: 0
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beta: 2.0
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# Opsional: tampilkan hasil di tab Evaluate
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model-index:
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- name: mt5_id2md
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results:
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- task:
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type: translation
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name: Indonesian → Mandar
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metrics:
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- type: chrf
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value: 41.65
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name: chrF (val)
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args:
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char_order: 6
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word_order: 0
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beta: 2.0
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---
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- type: chrf
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name: chrF (validation)
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value: 41.65
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args: {char_order: 6, word_order: 0, beta: 2.0}
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