Instructions to use hf-internal-testing/tiny-random-ErnieForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-internal-testing/tiny-random-ErnieForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-internal-testing/tiny-random-ErnieForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-internal-testing/tiny-random-ErnieForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-internal-testing/tiny-random-ErnieForMaskedLM") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f3ba0c0641f9f57a43f4956d96f79c3875bf7311220188260cbe3c256ce811a
- Size of remote file:
- 390 kB
- SHA256:
- e67e9d253689170645323f10bfc4be74b138cc7e314f383a52f9729dcaabc2f0
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