Instructions to use DarkWolf/kn-electra-small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarkWolf/kn-electra-small with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="DarkWolf/kn-electra-small")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("DarkWolf/kn-electra-small") model = AutoModel.from_pretrained("DarkWolf/kn-electra-small", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d6a5df0d1e1108affe0a894c48fcbadda130c1209c59f74dc2e8bd205a1a3027
- Size of remote file:
- 59 MB
- SHA256:
- aed6a3550812c99b710c839ed98e4a30f2dc25132215a62175364f8e199649b7
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