Text Classification
Transformers
ONNX
Safetensors
Persian
English
xlm-roberta
feature-extraction
persian
farsi
decision-model
tool-calling
agent
calibration
multiple-choice
cross-encoder
reranker
open-weight
dibachain
dibaone
text-embeddings-inference
Instructions to use Dibachain/DibaOne-X1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dibachain/DibaOne-X1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Dibachain/DibaOne-X1")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Dibachain/DibaOne-X1") model = AutoModel.from_pretrained("Dibachain/DibaOne-X1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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