Instructions to use Marijke/greberta_hypopt_reduced_NER with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Marijke/greberta_hypopt_reduced_NER with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Marijke/greberta_hypopt_reduced_NER")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Marijke/greberta_hypopt_reduced_NER") model = AutoModelForTokenClassification.from_pretrained("Marijke/greberta_hypopt_reduced_NER", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from Marijke/greberta_hypopt_reduced_NER: direct link, hf CLI and curl.
- Browser
- Download file 502 MB
-
https://huggingface.co/Marijke/greberta_hypopt_reduced_NER/resolve/main/model.safetensors
- Command line
-
hf download hf://Marijke/greberta_hypopt_reduced_NER/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/Marijke/greberta_hypopt_reduced_NER/resolve/main/model.safetensors
502 MB
- Xet hash:
- fb8f4a6484f0cec0a345f36e1bf5eb797b1397e1eec019441c30b6b08e12e5ec
- Size of remote file:
- 502 MB
- SHA256:
- c3d08604712091151ab0e4e351d584aa3018f013268a70e1dc13a24c2ff9f5e3
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