Instructions to use hf-tiny-model-private/tiny-random-ErnieForMaskedLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ErnieForMaskedLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="hf-tiny-model-private/tiny-random-ErnieForMaskedLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForMaskedLM") model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-ErnieForMaskedLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fdaa51a896d232ded7fd108a658c7a357b002bf63b3d8b54491ef3eb9f5750de
- Size of remote file:
- 390 kB
- SHA256:
- d6275fb8f827c6c2885178b7dfa52d608a8cad7ba4ec6848b45d34a5e664d88e
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