Instructions to use DavidHawksMSBA/Mod4Team12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DavidHawksMSBA/Mod4Team12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DavidHawksMSBA/Mod4Team12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DavidHawksMSBA/Mod4Team12") model = AutoModelForSequenceClassification.from_pretrained("DavidHawksMSBA/Mod4Team12") - 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 sha256:460715d37930700e4a3dd777c884802749b5e9b2a451337ddf1cef412b178237
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size 556803760
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