Instructions to use manred1997/deberta-v3-large-lemon-spell_5k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use manred1997/deberta-v3-large-lemon-spell_5k with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="manred1997/deberta-v3-large-lemon-spell_5k")# Load model directly from transformers import AutoTokenizer, XGECToR tokenizer = AutoTokenizer.from_pretrained("manred1997/deberta-v3-large-lemon-spell_5k") model = XGECToR.from_pretrained("manred1997/deberta-v3-large-lemon-spell_5k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a3f1517541b398e84604b6e7fd62d217802cfe1c82dabe04117143d58bea4cc3
- Size of remote file:
- 1.76 GB
- SHA256:
- 36da7b59e9dc73b2c4469be5ae129150a4332e350cb775be10aa3db12f9a6c8d
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