Instructions to use jashdalvi/electric-part-classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jashdalvi/electric-part-classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="jashdalvi/electric-part-classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("jashdalvi/electric-part-classifier") model = AutoModelForSequenceClassification.from_pretrained("jashdalvi/electric-part-classifier") - 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 sha256:8e94bc59b003196da2539a536d07096bdb520b91ce6cb9076721e138c32cb9c8
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size 267860252
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