Token Classification
Transformers
Safetensors
English
xlm-roberta
cyber-threat-intelligence
cyner
named-entity-recognition
hallucination-evaluation
Eval Results (legacy)
Instructions to use Ricky-dev/halluvision-cyner-xlmr-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ricky-dev/halluvision-cyner-xlmr-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="Ricky-dev/halluvision-cyner-xlmr-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("Ricky-dev/halluvision-cyner-xlmr-base") model = AutoModelForTokenClassification.from_pretrained("Ricky-dev/halluvision-cyner-xlmr-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Ricky-dev/halluvision-cyner-xlmr-base: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Ricky-dev/halluvision-cyner-xlmr-base/resolve/main/tokenizer.json
- Command line
-
hf download hf://Ricky-dev/halluvision-cyner-xlmr-base/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Ricky-dev/halluvision-cyner-xlmr-base/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- 28ef0f157b2f587c224a23f503dd29207cfc284d17712b50c68296b306b8ec27
- Size of remote file:
- 17.1 MB
- SHA256:
- f59925fcb90c92b894cb93e51bb9b4a6105c5c249fe54ce1c704420ac39b81af
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