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") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6933be807d218dc049a518aa4f9f17c258f6e685164db99af12996445952de3c
- Size of remote file:
- 2.24 GB
- SHA256:
- b0573363cbd9a9ac418edc7f8416d8e0251fe5937a013a47455a4662891f6885
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