Instructions to use teoogherghi/Log-Analysis-Model-DistilBert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use teoogherghi/Log-Analysis-Model-DistilBert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="teoogherghi/Log-Analysis-Model-DistilBert")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("teoogherghi/Log-Analysis-Model-DistilBert") model = AutoModelForSequenceClassification.from_pretrained("teoogherghi/Log-Analysis-Model-DistilBert") - Notebooks
- Google Colab
- Kaggle
File size: 129 Bytes
5253dee | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:3b11f18b78fd04af52f48c185b27e7c43d727dea101443415e35cab93ce1c6c6
size 5048
|