Instructions to use Bachi06/roberta-base-ner-updated with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bachi06/roberta-base-ner-updated with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Bachi06/roberta-base-ner-updated")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Bachi06/roberta-base-ner-updated") model = AutoModelForTokenClassification.from_pretrained("Bachi06/roberta-base-ner-updated", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Bachi06/roberta-base-ner-updated: direct link, hf CLI and curl.
- Browser
- Download file 4.92 kB
-
https://huggingface.co/Bachi06/roberta-base-ner-updated/resolve/main/training_args.bin
- Command line
-
hf download hf://Bachi06/roberta-base-ner-updated/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Bachi06/roberta-base-ner-updated/resolve/main/training_args.bin
4.92 kB
- Xet hash:
- ddaeec6c6ec9ddf5d5b110763438ad8eea8a2c28ad8e15002edb9f0637c2b9db
- Size of remote file:
- 4.92 kB
- SHA256:
- aa8418aebb9b44316ee39ea0f89933f46e9e5360d080032fc72a69b5c45f2679
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