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")# pip install -U transformers accelerate # 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
Commit History
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Adding `safetensors` variant of this model
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Adding `safetensors` variant of this model (#2)
- Adding `safetensors` variant of this model (ce0a211e7f11daaa906769a9b8ef207269e1a885)8c0ea8a
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (b8d7c05e9ccc3d98df42fdf0cbb2dd0943e14cb7)df75eb8 -
Adding `safetensors` variant of this model
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Small2 but sharded.
Unverified signatureCreated to test safetensors conversion.07a3942 -
initial commit
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