Instructions to use Lauler/deformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Lauler/deformer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Lauler/deformer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Lauler/deformer") model = AutoModelForTokenClassification.from_pretrained("Lauler/deformer") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4d7303b74e03687e9f238e98d6d7f06aad7aebc832b6985e031f36b514e8f701
- Size of remote file:
- 497 MB
- SHA256:
- 36c8f21e841ea95e7f491f1468a822931cf1d9399835542d1f136eb7463730bc
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