Instructions to use HagalazAI/RedSecureBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use HagalazAI/RedSecureBERT with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="HagalazAI/RedSecureBERT")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("HagalazAI/RedSecureBERT") model = AutoModelForSequenceClassification.from_pretrained("HagalazAI/RedSecureBERT", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from HagalazAI/RedSecureBERT: direct link, hf CLI and curl.
- Browser
- Download file 5.5 kB
-
https://huggingface.co/HagalazAI/RedSecureBERT/resolve/main/training_args.bin
- Command line
-
hf download hf://HagalazAI/RedSecureBERT/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/HagalazAI/RedSecureBERT/resolve/main/training_args.bin
5.5 kB
- Xet hash:
- 25eb0238c9dd42ff5a3231a6c2cac777b4937bcce13ef27ace1eee05447b55b5
- Size of remote file:
- 5.5 kB
- SHA256:
- cd899628771df754e988ea5f7948893d128805d0ba8d41adf70edde62e2a37f1
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