Instructions to use bolu61/logsegmenter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bolu61/logsegmenter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="bolu61/logsegmenter")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("bolu61/logsegmenter") model = AutoModelForTokenClassification.from_pretrained("bolu61/logsegmenter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 183 Bytes
83c6268 | 1 2 3 4 5 6 7 | {
"eval_loss": 2.775719404220581,
"eval_model_preparation_time": 0.0022,
"eval_runtime": 1.19,
"eval_samples_per_second": 75.629,
"eval_steps_per_second": 10.084
} |