Instructions to use Narsil/small3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/small3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Narsil/small3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/small3") model = AutoModelForTokenClassification.from_pretrained("Narsil/small3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ceaf5e51c11da3257967297708e3a7174abdecf4ace19d115c46c6c93b787a8e
- Size of remote file:
- 301 kB
- SHA256:
- 28422e5654b34d4d92f8675c7b563e01992322451c74cefec9137084ac797766
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