Instructions to use akdeniz27/modernbert-tr-base-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use akdeniz27/modernbert-tr-base-ner with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="akdeniz27/modernbert-tr-base-ner")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("akdeniz27/modernbert-tr-base-ner") model = AutoModelForTokenClassification.from_pretrained("akdeniz27/modernbert-tr-base-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from akdeniz27/modernbert-tr-base-ner: direct link, hf CLI and curl.
- Browser
- Download file 597 MB
-
https://huggingface.co/akdeniz27/modernbert-tr-base-ner/resolve/main/model.safetensors
- Command line
-
hf download hf://akdeniz27/modernbert-tr-base-ner/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/akdeniz27/modernbert-tr-base-ner/resolve/main/model.safetensors
597 MB
- Xet hash:
- 131200cc0da1e5779e3349804b1632a57670b8a518e970ec3f9d6e3ea95da746
- Size of remote file:
- 597 MB
- SHA256:
- 71a638963cdc63d713077b8de3eaf25ad6fc0808e45533604851b66353ea717a
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