Text Classification
Transformers
Safetensors
Russian
Ukrainian
English
bert
spam-detection
ad-filter
telegram
moderation
anti-spam
obfuscation
text-embeddings-inference
Instructions to use floxoris/adrash-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use floxoris/adrash-v0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="floxoris/adrash-v0")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("floxoris/adrash-v0") model = AutoModelForSequenceClassification.from_pretrained("floxoris/adrash-v0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from floxoris/adrash-v0: direct link, hf CLI and curl.
- Browser
- Download file 2.41 MB
-
https://huggingface.co/floxoris/adrash-v0/resolve/main/tokenizer.json
- Command line
-
hf download hf://floxoris/adrash-v0/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/floxoris/adrash-v0/resolve/main/tokenizer.json
2.41 MB
File too large to display, you can check the raw version instead.