Instructions to use hf-tiny-model-private/tiny-random-NezhaForMaskedLM 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-NezhaForMaskedLM 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-NezhaForMaskedLM")# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("hf-tiny-model-private/tiny-random-NezhaForMaskedLM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 137 Bytes
2a4c25a | 1 2 3 4 5 6 7 8 | {
"_from_model_config": true,
"bos_token_id": 2,
"eos_token_id": 3,
"pad_token_id": 0,
"transformers_version": "4.28.0.dev0"
}
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