Text Classification
Transformers
PyTorch
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use kartashoffv/news_topic_classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kartashoffv/news_topic_classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kartashoffv/news_topic_classification")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kartashoffv/news_topic_classification") model = AutoModelForSequenceClassification.from_pretrained("kartashoffv/news_topic_classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model (#1)
- Adding `safetensors` variant of this model (7d21cf9554d8976113c47b599018b9f5203ce8ee) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>14d1080 -
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