Instructions to use Omarrran/Kashmiri_Unigram_Tokenizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Omarrran/Kashmiri_Unigram_Tokenizer 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="Omarrran/Kashmiri_Unigram_Tokenizer")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Omarrran/Kashmiri_Unigram_Tokenizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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datasets:
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- Omarrran/3.1Million_KASHMIRI_text_Pre_training_Dataset_for_LLM_2026_by_HNM
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base_model:
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pipeline_tag: translation
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library_name: transformers
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datasets:
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- Omarrran/3.1Million_KASHMIRI_text_Pre_training_Dataset_for_LLM_2026_by_HNM
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pipeline_tag: translation
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