Instructions to use HooshvareLab/bert-base-parsbert-ner-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HooshvareLab/bert-base-parsbert-ner-uncased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="HooshvareLab/bert-base-parsbert-ner-uncased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased") model = AutoModelForTokenClassification.from_pretrained("HooshvareLab/bert-base-parsbert-ner-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HooshvareLab/bert-base-parsbert-ner-uncased: direct link, hf CLI and curl.
- Browser
- Download file 956 Bytes
-
https://huggingface.co/HooshvareLab/bert-base-parsbert-ner-uncased/resolve/102852194c5980d502c96d8b85d730a998cba8bf/training_args.bin
- Command line
-
hf download hf://HooshvareLab/bert-base-parsbert-ner-uncased@102852194c5980d502c96d8b85d730a998cba8bf/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HooshvareLab/bert-base-parsbert-ner-uncased/resolve/102852194c5980d502c96d8b85d730a998cba8bf/training_args.bin
956 Bytes
- Xet hash:
- 408a825eefb5cdf14e866834d1b0bd28879d9c4ef16b6779ad87c5d984cd15ea
- Size of remote file:
- 956 Bytes
- SHA256:
- 45bd94f93b9e0e80f7023f64850b7269c8571a46e9fa36357b81a0c03d656eb3
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