Text Classification
Transformers
TensorBoard
Safetensors
bert
Trained with AutoTrain
text-embeddings-inference
Instructions to use roy2231/Kazbrekker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use roy2231/Kazbrekker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="roy2231/Kazbrekker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("roy2231/Kazbrekker") model = AutoModelForSequenceClassification.from_pretrained("roy2231/Kazbrekker", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7a7cced05b7a5acddd65ecf3a129834bd4ab7710d3c32368e5d4621ce1c98990
- Size of remote file:
- 5.37 kB
- SHA256:
- 81091d3bad1dd31dc7e74d8c4138c28fd2dc5ce9f5e7fe4e0558482c42bc8459
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