Text Classification
Transformers
Safetensors
modernbert
Generated from Trainer
text-embeddings-inference
Instructions to use MesserMMP/bad_words-RuModernBERT-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MesserMMP/bad_words-RuModernBERT-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MesserMMP/bad_words-RuModernBERT-base")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MesserMMP/bad_words-RuModernBERT-base") model = AutoModelForSequenceClassification.from_pretrained("MesserMMP/bad_words-RuModernBERT-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 41a49bb7ab4feee2f4dc64ac75599e950977d4057f3a9c7bc9f37045cfcbd2e5
- Size of remote file:
- 5.24 kB
- SHA256:
- 068a581faa5f24a80920b90e265edf5afd44075e108030a01a5bf14054b6ad59
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