Instructions to use SushantGautam/LogClassification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SushantGautam/LogClassification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SushantGautam/LogClassification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("SushantGautam/LogClassification") model = AutoModelForSequenceClassification.from_pretrained("SushantGautam/LogClassification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 674937b44f89f2d83b39ba9330383ffe506becbef7dff25e00dc4c34d1476fb0
- Size of remote file:
- 529 MB
- SHA256:
- 028f61b4c769d125d717982ed34d10cf98842f133fcd411e5b717d16b11a48ff
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