Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
text-embeddings-inference
Instructions to use DangMinh21/category_classifier_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DangMinh21/category_classifier_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="DangMinh21/category_classifier_model")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DangMinh21/category_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("DangMinh21/category_classifier_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 89ea83fc266db0ac517eb379f2d4732ba4c4bb8ce6249567f8e9126569969d7c
- Size of remote file:
- 268 MB
- SHA256:
- efb111cae7ae6e948e8cc07024f55ba35d3224968e43b74faca749beb12f2c72
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