Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Ola172/article_classification_modelv12 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ola172/article_classification_modelv12 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ola172/article_classification_modelv12")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ola172/article_classification_modelv12") model = AutoModelForSequenceClassification.from_pretrained("Ola172/article_classification_modelv12", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ola172/article_classification_modelv12: direct link, hf CLI and curl.
- Browser
- Download file 5.05 kB
-
https://huggingface.co/Ola172/article_classification_modelv12/resolve/main/training_args.bin
- Command line
-
hf download hf://Ola172/article_classification_modelv12/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ola172/article_classification_modelv12/resolve/main/training_args.bin
5.05 kB
- Xet hash:
- 6c852db1bb26780d3efeb3700cc4e7d4271b563059a9cda8675606f5039d6cf3
- Size of remote file:
- 5.05 kB
- SHA256:
- 9abce425b16edc05e5154d0cb477f17dcf3b6062cc1af082af337bacf796b802
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