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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("DangMinh21/category_classifier_model") model = AutoModelForSequenceClassification.from_pretrained("DangMinh21/category_classifier_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from DangMinh21/category_classifier_model: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/DangMinh21/category_classifier_model/resolve/main/training_args.bin
- Command line
-
hf download hf://DangMinh21/category_classifier_model/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/DangMinh21/category_classifier_model/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- 4ffcb1f3d44861af5c5f08048012f43033b14c1ce67cc2df4ba71d2226f2ca97
- Size of remote file:
- 5.3 kB
- SHA256:
- 68d888f7252613a7d1222264da2bc11292741314cc47f35112b21b808b76c32d
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