Instructions to use hf-internal-testing/tiny-electra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-electra with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-electra")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-electra") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-electra") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- eff9d6e155179679aa0dd3ea5b194218ea55d54a720bf6adfc4fa4fe0a61f20e
- Size of remote file:
- 861 kB
- SHA256:
- 329472d5ca2d08a2af5798faadab3bebe29fdba4c26ba737240f7bb711f48080
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