Instructions to use asparius/electra-small-initial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use asparius/electra-small-initial with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="asparius/electra-small-initial")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("asparius/electra-small-initial") model = AutoModel.from_pretrained("asparius/electra-small-initial") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5058195627452701b000b31974d1ac32f58556c23345a887d939ca1f0fc33110
- Size of remote file:
- 54 MB
- SHA256:
- f59e27dcd0b0d9f0107bfe33cf6915767ec13d1d446dd0abc2855fcf9d1e0e13
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