Instructions to use helloNet/public_models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use helloNet/public_models with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="helloNet/public_models")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("helloNet/public_models") model = AutoModelForMaskedLM.from_pretrained("helloNet/public_models", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6f663773e19a479e4265d950c3d704ce5d7a7907218e4c903eba7773a5b340e2
- Size of remote file:
- 438 MB
- SHA256:
- 6be5808488e7903afa9b2142513d46831979f279faec35f10751c2960a4eb0ed
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