Instructions to use hadifar/entityextraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadifar/entityextraction with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="hadifar/entityextraction")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("hadifar/entityextraction") model = AutoModelForTokenClassification.from_pretrained("hadifar/entityextraction", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 46f790d21d5e15f4b70b22a4a03f1766c5129fc81f8b886033526a5a6bac94f2
- Size of remote file:
- 496 MB
- SHA256:
- 909e30eafb03b61aad3d8f5c4561ad9df407681fbd29dd1160cab024db7583ac
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