Instructions to use CATIE-AQ/NERmembert-base-4entities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CATIE-AQ/NERmembert-base-4entities with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="CATIE-AQ/NERmembert-base-4entities")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("CATIE-AQ/NERmembert-base-4entities") model = AutoModelForTokenClassification.from_pretrained("CATIE-AQ/NERmembert-base-4entities", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2116aa45310588cc565e1675c50d0e955112b8aa6c379b9519935fa32f4d48b7
- Size of remote file:
- 4.73 kB
- SHA256:
- cd2a67fc76e51645a8f177917fbb0d87962d12d47c5eb833b4b9efc78fbfc766
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