Instructions to use EhsanAghazadeh/electra-base-random-weights with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use EhsanAghazadeh/electra-base-random-weights with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="EhsanAghazadeh/electra-base-random-weights")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("EhsanAghazadeh/electra-base-random-weights") model = AutoModel.from_pretrained("EhsanAghazadeh/electra-base-random-weights", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6d417542a2a4f064bb05171c361d9f9e37da92dbabddbf5badbcaf14d951e855
- Size of remote file:
- 436 MB
- SHA256:
- 3e9cfd8ec62812f80fcd38ea998177bceee2e8f3a49267556cd243f9aec0d25e
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