Instructions to use kumar9/word-auto-filled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kumar9/word-auto-filled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kumar9/word-auto-filled")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kumar9/word-auto-filled") model = AutoModelForSequenceClassification.from_pretrained("kumar9/word-auto-filled") - 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:c4d584958195804e28811a6b8b1443a1bb46674b36896fe6b52f227690dd9e8f
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size 81496
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