Instructions to use boapps/kmdb_ner_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use boapps/kmdb_ner_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="boapps/kmdb_ner_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("boapps/kmdb_ner_model") model = AutoModelForTokenClassification.from_pretrained("boapps/kmdb_ner_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from boapps/kmdb_ner_model: direct link, hf CLI and curl.
- Browser
- Download file 440 MB
-
https://huggingface.co/boapps/kmdb_ner_model/resolve/main/model.safetensors
- Command line
-
hf download hf://boapps/kmdb_ner_model/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/boapps/kmdb_ner_model/resolve/main/model.safetensors
440 MB
- Xet hash:
- ea116df7feff44f89fa776e0ba9d46b78272890fb3fecce8aad35e5b28a4ff69
- Size of remote file:
- 440 MB
- SHA256:
- 6b4769f61f400f8ea5eff6787c1cbbe6b10969126261252acb9a87689c2e471f
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