Sentence Similarity
Transformers
Safetensors
Italian
bert
feature-extraction
text-embeddings-inference
Instructions to use DeepMount00/Anita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DeepMount00/Anita with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DeepMount00/Anita") model = AutoModel.from_pretrained("DeepMount00/Anita", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## Intended Use
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This model is designed for the specific task of question answering (Q&A) in Italian. It is intended for applications that require understanding and processing Italian language queries to identify the most relevant context where an answer can be found. Suitable use cases include but are not limited to customer support automation, educational tools, and information retrieval systems.
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- **Version:** 2
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- **Release Date:** April 23, 2024
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## Intended Use
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This model is designed for the specific task of question answering (Q&A) in Italian. It is intended for applications that require understanding and processing Italian language queries to identify the most relevant context where an answer can be found. Suitable use cases include but are not limited to customer support automation, educational tools, and information retrieval systems.
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