Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use Ola172/article_classificationv0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ola172/article_classificationv0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Ola172/article_classificationv0")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Ola172/article_classificationv0") model = AutoModelForSequenceClassification.from_pretrained("Ola172/article_classificationv0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Ola172/article_classificationv0: direct link, hf CLI and curl.
- Browser
- Download file 4.98 kB
-
https://huggingface.co/Ola172/article_classificationv0/resolve/main/training_args.bin
- Command line
-
hf download hf://Ola172/article_classificationv0/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Ola172/article_classificationv0/resolve/main/training_args.bin
4.98 kB
- Xet hash:
- 7d0786b60717c1f73cbd46a0e39218403be704284490ddc2356997540f3af10b
- Size of remote file:
- 4.98 kB
- SHA256:
- 250a3ee5c70344a6374563f44102423dbb59073c4c4b5ca22fa72942c8a56fd7
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