Text Classification
Transformers
PyTorch
ONNX
Safetensors
Italian
bert
metadata
cultural-heritage
glam
italian
text-embeddings-inference
Instructions to use small-models-for-glam/cultural_heritage_metadata_accuracy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use small-models-for-glam/cultural_heritage_metadata_accuracy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="small-models-for-glam/cultural_heritage_metadata_accuracy")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("small-models-for-glam/cultural_heritage_metadata_accuracy") model = AutoModelForSequenceClassification.from_pretrained("small-models-for-glam/cultural_heritage_metadata_accuracy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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