Fill-Mask
Transformers
Safetensors
PyTorch
English
Indonesian
bert
text-classification
token-classification
cybersecurity
named-entity-recognition
tensorflow
masked-language-modeling
Instructions to use codechrl/bert-micro-cybersecurity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use codechrl/bert-micro-cybersecurity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="codechrl/bert-micro-cybersecurity")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("codechrl/bert-micro-cybersecurity") model = AutoModelForMaskedLM.from_pretrained("codechrl/bert-micro-cybersecurity", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint-21/scheduler.pt from codechrl/bert-micro-cybersecurity: direct link, hf CLI and curl.
- Browser
- Download file 1.47 kB
-
https://huggingface.co/codechrl/bert-micro-cybersecurity/resolve/c8edfbaa6bd79d985ccefa808475ebfbcf4b3aaf/checkpoint-21/scheduler.pt
- Command line
-
hf download hf://codechrl/bert-micro-cybersecurity@c8edfbaa6bd79d985ccefa808475ebfbcf4b3aaf/checkpoint-21/scheduler.pt
-
curl -L -o scheduler.pt https://huggingface.co/codechrl/bert-micro-cybersecurity/resolve/c8edfbaa6bd79d985ccefa808475ebfbcf4b3aaf/checkpoint-21/scheduler.pt
1.47 kB
- Xet hash:
- cb8251ec089eded07dc4f6eea4e3ebf99797eef0c2248f672d0e9269d5ee3c25
- Size of remote file:
- 1.47 kB
- SHA256:
- 2f374c8187c2d2db1143eb348871ee957c3603763a041fd251d09062f56d5688
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