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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("floxoris/adrash-v0") model = AutoModelForSequenceClassification.from_pretrained("floxoris/adrash-v0") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 04361e48e1c1cb3167dd7cf9cca99c07820d8d458f438372fcd85efd17b8f039
- Size of remote file:
- 5.27 kB
- SHA256:
- 1afa536a38059aaead04383df55d162f4e208a86632eaff920216f4d12ee9d86
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