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:
- 36edf79db0f3c03e58db9ad6c517c8ba65862c098f5c06fd012ee88bf76dcd74
- Size of remote file:
- 4.6 kB
- SHA256:
- c9b479ffe3b06ae910da73ce12840c9dbe106ff0dd59279e2f2a3309d445a2c5
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