Instructions to use GGLab/gec-tr-seq-tagger with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GGLab/gec-tr-seq-tagger with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="GGLab/gec-tr-seq-tagger")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("GGLab/gec-tr-seq-tagger") model = AutoModelForTokenClassification.from_pretrained("GGLab/gec-tr-seq-tagger") - 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 sha256:919cb79839bc1756d0a7f04ad4959c6b1d093a92030df132e7f3966c65493fa6
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size 440214520
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