Fill-Mask
Transformers
Safetensors
English
bert
url
cybersecurity
urls
links
classification
phishing-detection
tiny
phishing
malware
defacement
urlbert
malicious
base
Instructions to use CrabInHoney/urlbert-tiny-base-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CrabInHoney/urlbert-tiny-base-v4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="CrabInHoney/urlbert-tiny-base-v4")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("CrabInHoney/urlbert-tiny-base-v4") model = AutoModel.from_pretrained("CrabInHoney/urlbert-tiny-base-v4", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7c85d1150208f52a9acfbb09e3af9a52d8353c0bed0910ed5b88cc31f2a90fd0
- Size of remote file:
- 14.2 kB
- SHA256:
- 0d3db6f1800e1ddcf8cd635711839bc1ca4f4c5272d8962d4aeeff277d16c55a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.