Text Classification
Transformers
Safetensors
Spanish
bertin_alc
feature-extraction
multi-label-classification
spanish
public-policy
bertin
roberta
custom_code
Instructions to use PENCR/bertin-alc-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PENCR/bertin-alc-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="PENCR/bertin-alc-multilabel", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("PENCR/bertin-alc-multilabel", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 51 Bytes
5d89c7b | 1 2 3 4 5 6 | {
"ALC1": 0.52,
"ALC2": 0.30,
"ALC3": 0.16
}
|