Instructions to use Narsil/small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Narsil/small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/small") model = AutoModelForTokenClassification.from_pretrained("Narsil/small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
More test files (tokenizers).
Browse files- roberta.json +0 -0
- unigram.model +0 -0
- unigram_wagahaiwa_nekodearu-unigram.json +0 -0
- unigram_wagahaiwa_nekodearu.txt +0 -0
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unigram.model
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unigram_wagahaiwa_nekodearu-unigram.json
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unigram_wagahaiwa_nekodearu.txt
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