Feature Extraction
Transformers
PyTorch
Safetensors
Hebrew
bert
custom_code
text-embeddings-inference
Instructions to use dicta-il/dictabert-morph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dicta-il/dictabert-morph with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dicta-il/dictabert-morph", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dicta-il/dictabert-morph", trust_remote_code=True) model = AutoModel.from_pretrained("dicta-il/dictabert-morph", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
30 days ago
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Sync modeling code from FinetuningBert@ebbd87d466c6
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Adding `safetensors` variant of this model (#4)
Verified signature- Adding `safetensors` variant of this model (216ea8a75f2ef0a26459c70b97279b6c567c0c0b) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>292587e
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