Instructions to use peterkros/COFOG-bert-level2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use peterkros/COFOG-bert-level2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="peterkros/COFOG-bert-level2")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("peterkros/COFOG-bert-level2") model = AutoModelForSequenceClassification.from_pretrained("peterkros/COFOG-bert-level2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e6d3c2f3342939fc9dc634acc6493db8e9ada89620fdcb45bbd105567ae8182d
- Size of remote file:
- 438 MB
- SHA256:
- f1b588cdbf2d83344b6116b1028df7dd1e5a80f9694dfe78b94a47de3f2245d0
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