Instructions to use Dondog/roberta-base-ner-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dondog/roberta-base-ner-test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Dondog/roberta-base-ner-test")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Dondog/roberta-base-ner-test") model = AutoModelForTokenClassification.from_pretrained("Dondog/roberta-base-ner-test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Dondog/roberta-base-ner-test: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Dondog/roberta-base-ner-test/resolve/main/training_args.bin
- Command line
-
hf download hf://Dondog/roberta-base-ner-test/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Dondog/roberta-base-ner-test/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- 6f94e83155dfda5fd3a6ba3bf597a22f195e9dba8532c0521c4a487f915d9269
- Size of remote file:
- 4.92 kB
- SHA256:
- 38f61ed712ffc287fe203055eca4e222f8276e58647af1e32425263e9e7f36d7
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