Instructions to use cyclone/cyclone-ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cyclone/cyclone-ner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, BertCrfForNer tokenizer = AutoTokenizer.from_pretrained("cyclone/cyclone-ner") model = BertCrfForNer.from_pretrained("cyclone/cyclone-ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from cyclone/cyclone-ner: direct link, hf CLI and curl.
- Browser
- Download file 818 MB
-
https://huggingface.co/cyclone/cyclone-ner/resolve/refs%2Fpr%2F1/pytorch_model.bin
- Command line
-
hf download hf://cyclone/cyclone-ner@refs/pr/1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/cyclone/cyclone-ner/resolve/refs%2Fpr%2F1/pytorch_model.bin
818 MB
- Xet hash:
- 1760ae608517efa33d5aef0b7fb71bab63331795ea018e88fefea1994e02dc30
- Size of remote file:
- 818 MB
- SHA256:
- b1b87b0d980935f9d152105c99c772065c6e05c89086c81d8530972ac967e4f1
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