Instructions to use cleopatro/Entity_Rec with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cleopatro/Entity_Rec with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="cleopatro/Entity_Rec")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("cleopatro/Entity_Rec") model = AutoModelForTokenClassification.from_pretrained("cleopatro/Entity_Rec", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 29951a63a8b660811ebfb32f663f512cd3af3bd854dbbab1b47b59561aa0ffba
- Size of remote file:
- 265 MB
- SHA256:
- 16d964bd2589ac2a8af7b5b2afe2e38a8c09346ace42dbe036e8315d9dcd59e1
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