Instructions to use marefa-nlp/marefa-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marefa-nlp/marefa-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="marefa-nlp/marefa-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("marefa-nlp/marefa-ner") model = AutoModelForTokenClassification.from_pretrained("marefa-nlp/marefa-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 69364a4d5561a03d10c9d9afbcb5d916b7e951cb6af9b05b5dd77d9dfc876668
- Size of remote file:
- 623 Bytes
- SHA256:
- 710a6bdce18d3c7ce72067f04b21ab94ae75a2ee4d731088bcedf84c21aed99f
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