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:
- 1b97512aeca23c5d011da5220d4541a213e8e787bd81571219e9d120849c4eb6
- Size of remote file:
- 3.38 kB
- SHA256:
- 85c212be6289b827406f18ef583d8be42c5d915e9c44bf1414c7c5ea94c339c7
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