Text Classification
Transformers
Safetensors
xlm-roberta
computer-use
browser-agents
agent-safety
human-in-the-loop
multilingual
text-embeddings-inference
Instructions to use decosaai/decosa-commit-detector-xlmr-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use decosaai/decosa-commit-detector-xlmr-large with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="decosaai/decosa-commit-detector-xlmr-large")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("decosaai/decosa-commit-detector-xlmr-large") model = AutoModelForSequenceClassification.from_pretrained("decosaai/decosa-commit-detector-xlmr-large", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 177 Bytes
3642232 | 1 | {"kinds": ["none", "pay", "delete", "send", "publish", "submit", "security"], "maxlen": 160, "safety_threshold_pnone": 0.7000000000000001, "text_format": "see infer.py text_of"} |