Instructions to use djsull/logs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use djsull/logs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="djsull/logs")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("djsull/logs") model = AutoModelForTokenClassification.from_pretrained("djsull/logs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d27a4d57374ba625c0bb5388fc34a33874abf58229184ff1556b28f50d14044e
- Size of remote file:
- 270 MB
- SHA256:
- 42dc3c5fe82f784d3c3e18829dc259480890396a9d7ffc201ab22bbb294e3ad5
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