Feature Extraction
Transformers
Safetensors
Italian
bert
information-retrieval
contrastive-learning
embeddings
italian
fine-tuned
retrieval-augmented-generation
Eval Results (legacy)
text-embeddings-inference
Instructions to use ArchitRastogi/bert-base-italian-embeddings with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ArchitRastogi/bert-base-italian-embeddings with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="ArchitRastogi/bert-base-italian-embeddings")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("ArchitRastogi/bert-base-italian-embeddings") model = AutoModel.from_pretrained("ArchitRastogi/bert-base-italian-embeddings") - Notebooks
- Google Colab
- Kaggle
Ctrl+K