Instructions to use stuartmesham/deberta-large_lemon_10k_2_p3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use stuartmesham/deberta-large_lemon_10k_2_p3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="stuartmesham/deberta-large_lemon_10k_2_p3")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("stuartmesham/deberta-large_lemon_10k_2_p3") model = AutoModelForTokenClassification.from_pretrained("stuartmesham/deberta-large_lemon_10k_2_p3") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 74b5c465fbdf1514af0bd77034d85eb7fc1ffa8a19cf0a35581ed03f877c9e8e
- Size of remote file:
- 3.44 kB
- SHA256:
- 4053bc6fd43167a557100453bd19e9ab59b44e537d0b811728066408579a13c8
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