Instructions to use Aliph0th/logtheus-ml-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Aliph0th/logtheus-ml-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Aliph0th/logtheus-ml-large")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Aliph0th/logtheus-ml-large") model = AutoModelForTokenClassification.from_pretrained("Aliph0th/logtheus-ml-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 103b4f4f5168133781b93000acf53312bd80890ee108c953372188933489cad6
- Size of remote file:
- 5.2 kB
- SHA256:
- 27d6563dcf38e60415fac36387e8f0e5b87a7c6d0e20f33746cff888c6844670
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