Instructions to use sijpapi/my-awesome-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sijpapi/my-awesome-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="sijpapi/my-awesome-model")# Load model directly from transformers import AutoProcessor, AutoModelForSequenceClassification processor = AutoProcessor.from_pretrained("sijpapi/my-awesome-model") model = AutoModelForSequenceClassification.from_pretrained("sijpapi/my-awesome-model") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
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- model.safetensors +3 -0
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oid sha256:7ca6d4b945e873ae74303362c1e37b29674202724d4ae1c75683cd54420b87c3
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size 802094924
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