Instructions to use leonhardhennig/copious_ner with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use leonhardhennig/copious_ner with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("leonhardhennig/copious_ner", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from leonhardhennig/copious_ner: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/leonhardhennig/copious_ner/resolve/main/model.safetensors
- Command line
-
hf download hf://leonhardhennig/copious_ner/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/leonhardhennig/copious_ner/resolve/main/model.safetensors
436 MB
- Xet hash:
- 58092fa5e14d0c1608e155f3dfeed921b93432321728c6a822bbc5699194eb15
- Size of remote file:
- 436 MB
- SHA256:
- 109c2b357fed5e8fc69e79cc18b3b5015a0b7bf43dc6da12a77f0614fb437b60
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.