Text Classification
Transformers
Safetensors
bert
multilabel
history
holocaust
heritage
text-embeddings-inference
Instructions to use ufal/labse-malach-multilabel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ufal/labse-malach-multilabel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ufal/labse-malach-multilabel")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ufal/labse-malach-multilabel") model = AutoModelForSequenceClassification.from_pretrained("ufal/labse-malach-multilabel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4e0e4d37c2e3b85f1db3644ebf1768105d731d18bcbb1f988db21559aa734672
- Size of remote file:
- 5.3 kB
- SHA256:
- 5913c679f03a872b5de12952136f8817343c5a1b6647fc84b3674bb62ec49694
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