Instructions to use fgaim/tielectra-geezswitch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fgaim/tielectra-geezswitch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="fgaim/tielectra-geezswitch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("fgaim/tielectra-geezswitch") model = AutoModelForSequenceClassification.from_pretrained("fgaim/tielectra-geezswitch") - Notebooks
- Google Colab
- Kaggle
Model bin
Browse files- pytorch_model.bin +3 -0
pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:a83ed1a5a34521a2d1488d23a3736772162182760cca69fbd6d48cb48dd34fa7
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size 54272553
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