Text Classification
Transformers
TensorBoard
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use drcoool/featured-articles with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use drcoool/featured-articles with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="drcoool/featured-articles")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("drcoool/featured-articles") model = AutoModelForSequenceClassification.from_pretrained("drcoool/featured-articles") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9c45d2a1e3bf06d1d7d8bdfafbfeb31b1ae65205088a783ddf6783b036d23b0b
- Size of remote file:
- 598 MB
- SHA256:
- 33c134cd604d021b99a9709616af5571ce8f59accfec9bf1f13522604980e99c
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