Instructions to use ThirdEyeData/Consumer-Complaint-Categorization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ThirdEyeData/Consumer-Complaint-Categorization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ThirdEyeData/Consumer-Complaint-Categorization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ThirdEyeData/Consumer-Complaint-Categorization") model = AutoModelForSequenceClassification.from_pretrained("ThirdEyeData/Consumer-Complaint-Categorization") - Notebooks
- Google Colab
- Kaggle
Upload training_args.bin
Browse files- training_args.bin +3 -0
training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e0c3dd372a7733392299509b17ac617056c7f6a531848de791f769254d9f656
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size 3387
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