Instructions to use izaitova/ner_cs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use izaitova/ner_cs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="izaitova/ner_cs")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("izaitova/ner_cs") model = AutoModelForTokenClassification.from_pretrained("izaitova/ner_cs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ada85495b188707ae5d4f23775d9b2e5e809cf613a92a499c1a4d93fa8138798
- Size of remote file:
- 4.46 kB
- SHA256:
- 714e5adfc96f7008267a78babff0b5202b6ecad8b84e16257493bfadab873722
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