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
Download special_tokens_map.json from CrabInHoney/urlbert-tiny-base-v4: direct link, hf CLI and curl.
- Browser
- Download file 125 Bytes
-
https://huggingface.co/CrabInHoney/urlbert-tiny-base-v4/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://CrabInHoney/urlbert-tiny-base-v4/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/CrabInHoney/urlbert-tiny-base-v4/resolve/main/special_tokens_map.json
125 Bytes
| { | |
| "cls_token": "[CLS]", | |
| "mask_token": "[MASK]", | |
| "pad_token": "[PAD]", | |
| "sep_token": "[SEP]", | |
| "unk_token": "[UNK]" | |
| } | |