Instructions to use GautamR/model_grievance_class with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GautamR/model_grievance_class with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="GautamR/model_grievance_class")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("GautamR/model_grievance_class") model = AutoModelForSequenceClassification.from_pretrained("GautamR/model_grievance_class") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
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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:f69e11f9c4efff4ade694f3efa1e9c2a4eb87737e8500f3e9040bb7a0150dedf
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size 437965908
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