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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Delete checkpoint.pth
Browse files- checkpoint.pth +0 -3
checkpoint.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:53b426048bed5c09d5fca8e86c5e0f4959f2f6e1b1f3429f558429185e6f1475
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size 122338
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