Instructions to use qavit/mt5-small-hak with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use qavit/mt5-small-hak with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("qavit/mt5-small-hak") model = AutoModelForSeq2SeqLM.from_pretrained("qavit/mt5-small-hak") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -16,9 +16,9 @@ This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:**
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** Hakka
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** Nobody
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** Hakka, Mandarin
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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