Instructions to use favas/butler_model_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use favas/butler_model_2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="favas/butler_model_2")# Load model directly from transformers import AutoProcessor, AutoModelForTokenClassification processor = AutoProcessor.from_pretrained("favas/butler_model_2") model = AutoModelForTokenClassification.from_pretrained("favas/butler_model_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36011c20277a1e230ab8e45ad9524619efd4eca23d184b0ee4d864a56711258f
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size 501359748
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