Instructions to use zpn/bp_medium_step_400 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zpn/bp_medium_step_400 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="zpn/bp_medium_step_400")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("zpn/bp_medium_step_400") model = AutoModelForMaskedLM.from_pretrained("zpn/bp_medium_step_400") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 027721176779ef6803b56da3f534da0ab6e723ff00822eeb4c726957e32bddee
- Size of remote file:
- 689 MB
- SHA256:
- 89804ea939a065d68ca73e7ce65ec10e74bc97db3bf65b019e9223be1bd7e99c
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