Text Classification
Transformers
TensorBoard
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Instructions to use SzymonSt2808/log_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SzymonSt2808/log_classifier with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SzymonSt2808/log_classifier")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SzymonSt2808/log_classifier") model = AutoModelForSequenceClassification.from_pretrained("SzymonSt2808/log_classifier", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4b8882c3394a92f6879b2dc1f4c339f929262c99cf1f2e27fbd6722c9a19261e
- Size of remote file:
- 4.6 kB
- SHA256:
- 8e02f2bb4db96b1d56d3806063e495fc46a6e657068d4ae0a47b0f9158a8b40c
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