Instructions to use ksgr5566/demo_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ksgr5566/demo_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ksgr5566/demo_classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ksgr5566/demo_classification") model = AutoModelForSequenceClassification.from_pretrained("ksgr5566/demo_classification") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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 sha256:133a2e5b9abbac87cc2d5c82a5577cf11a75dc365336a59ae084df3fae6e172e
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size 267832560
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