Instructions to use casonshep/token_classification_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use casonshep/token_classification_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="casonshep/token_classification_test")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("casonshep/token_classification_test") model = AutoModelForTokenClassification.from_pretrained("casonshep/token_classification_test") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:a6175a0b9012c9259e9e4d2710aa103116bb62ea75db8209f02ca7f2653d85f3
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size 265574608
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