Instructions to use yihahn/ner_2006 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yihahn/ner_2006 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="yihahn/ner_2006")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("yihahn/ner_2006") model = AutoModelForTokenClassification.from_pretrained("yihahn/ner_2006", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from yihahn/ner_2006: direct link, hf CLI and curl.
- Browser
- Download file 1.33 kB
-
https://huggingface.co/yihahn/ner_2006/resolve/main/training_args.bin
- Command line
-
hf download hf://yihahn/ner_2006/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/yihahn/ner_2006/resolve/main/training_args.bin
1.33 kB
- Xet hash:
- 531189efbe847a92636e001165ac9c9befa64435869fed1b007fe1e04bc34bc7
- Size of remote file:
- 1.33 kB
- SHA256:
- efa1b9666dd81c17015ea49eb1a4a8f118f412b925d23a1e78de04a679fc6604
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