Instructions to use Violeta/ArmBERTa_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Violeta/ArmBERTa_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Violeta/ArmBERTa_Model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Violeta/ArmBERTa_Model") model = AutoModel.from_pretrained("Violeta/ArmBERTa_Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download .gitattributes from Violeta/ArmBERTa_Model: direct link, hf CLI and curl.
- Browser
- Download file 736 Bytes
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https://huggingface.co/Violeta/ArmBERTa_Model/resolve/main/.gitattributes
- Command line
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hf download hf://Violeta/ArmBERTa_Model/.gitattributes
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curl -L -o .gitattributes https://huggingface.co/Violeta/ArmBERTa_Model/resolve/main/.gitattributes
736 Bytes
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