Feature Extraction
Transformers
PyTorch
Danish
bert
BERT
encoder
embeddings
TiME
size:xs
text-embeddings-inference
Instructions to use dschulmeist/TiME-da-xs with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dschulmeist/TiME-da-xs with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="dschulmeist/TiME-da-xs")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("dschulmeist/TiME-da-xs") model = AutoModel.from_pretrained("dschulmeist/TiME-da-xs", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
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