Instructions to use Vaishnav2811/Lushootseed-Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Vaishnav2811/Lushootseed-Tokenizer with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Vaishnav2811/Lushootseed-Tokenizer", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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library_name: transformers
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# Model Card for Model ID
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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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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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library_name: transformers
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license: mit
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datasets:
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- Vaishnav2811/Lushootseed
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# Model Card for Model ID
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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:** Vaishnav
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- **Model type:** Tokenizer
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- **Language(s) (NLP):** Lushootseed
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- **License:** MIT
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- **Finetuned from model [optional]:** TikToken
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### Model Sources [optional]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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