Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
text-embeddings-inference
Instructions to use davanstrien/cultural_heritage_metadata_accuracy_mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use davanstrien/cultural_heritage_metadata_accuracy_mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="davanstrien/cultural_heritage_metadata_accuracy_mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("davanstrien/cultural_heritage_metadata_accuracy_mnli") model = AutoModelForSequenceClassification.from_pretrained("davanstrien/cultural_heritage_metadata_accuracy_mnli", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
8a987a5
1
Parent(s): 2b41284
Adding `safetensors` variant of this model (#1)
Browse files- Adding `safetensors` variant of this model (11090d012fe2153a4c13fa5bf536294231fe830c)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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