Text Classification
Transformers
Safetensors
German
deberta-v2
hail
hailstorm
historical climatology
BERT
german
environmental-history
historical sources
text-embeddings-inference
Instructions to use Stickmu/HailBERT-de-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Stickmu/HailBERT-de-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Stickmu/HailBERT-de-v1")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Stickmu/HailBERT-de-v1") model = AutoModelForSequenceClassification.from_pretrained("Stickmu/HailBERT-de-v1") - Notebooks
- Google Colab
- Kaggle
Ctrl+K