Instructions to use sawyerhu/test_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sawyerhu/test_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="sawyerhu/test_model")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("sawyerhu/test_model") model = AutoModelForTokenClassification.from_pretrained("sawyerhu/test_model", 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 sha256:573568dd072bff2e2791e2b1ce1de360acdc4f0bffacf03d3a9e8a991d013462
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size 430915468
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