Instructions to use hf-internal-testing/tiny-random-ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-internal-testing/tiny-random-ElectraModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ElectraModel") model = AutoModel.from_pretrained("hf-internal-testing/tiny-random-ElectraModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97d678c069b7b11b7401666bff884f0bea5f8fd8f920fdff568da33511c1d917
- Size of remote file:
- 1.01 MB
- SHA256:
- 958adffd2c691e7abed65a075450003c2a1bc6422676a19eb57884056a90dab9
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