Text Classification
Transformers
Safetensors
Spanish
xlm-roberta
spanish
conflict-detection
text-embeddings-inference
Instructions to use gefero/conflict_detection_ROBERTA_based with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use gefero/conflict_detection_ROBERTA_based with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="gefero/conflict_detection_ROBERTA_based")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("gefero/conflict_detection_ROBERTA_based") model = AutoModelForSequenceClassification.from_pretrained("gefero/conflict_detection_ROBERTA_based", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b5993578293b03ad231eec5b68b07b882682a165f2c374eea505159cc80e7a9e
- Size of remote file:
- 17.1 MB
- SHA256:
- cc02d42fb2a10276563109e2287cc0dbe6b595d5b3b3401c7cfeffc0b7e20270
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