Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
text-embeddings-inference
Instructions to use selimsametoglu/selims with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use selimsametoglu/selims with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="selimsametoglu/selims")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("selimsametoglu/selims") model = AutoModelForSequenceClassification.from_pretrained("selimsametoglu/selims") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b444b2a7f9badb6804b344f5a3f0d60a63d42d60994e1a590878ee7e979ba99d
- Size of remote file:
- 2.93 kB
- SHA256:
- 2ad3bf3e17cfc01a88f174c02ed1226c2981fd6b575c51222e45d38fb7159bbb
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