Instructions to use masterkristall/rumodernbert_ner_ft_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use masterkristall/rumodernbert_ner_ft_small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="masterkristall/rumodernbert_ner_ft_small")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("masterkristall/rumodernbert_ner_ft_small") model = AutoModelForTokenClassification.from_pretrained("masterkristall/rumodernbert_ner_ft_small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a121dc5945ab80b3d6002ca2ef47a44beeae24db900088a90b3f5a9a7e916b7a
- Size of remote file:
- 5.2 kB
- SHA256:
- fdd24b1aaf09472a19daaeb68d733040305aab072a68a23a778e9aa05546f6c5
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