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:
- cb233a561e21c0c0257daf593f7b774a6b3dfca37b4856426d6687ce6a4c210c
- Size of remote file:
- 371 kB
- SHA256:
- daa7c427eebc19a324aa9e4c06f03da0e7e7e6b6025b40f73b531902c11c1403
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