Instructions to use dbourget/pb-small-53K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dbourget/pb-small-53K with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="dbourget/pb-small-53K")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("dbourget/pb-small-53K") model = AutoModelForMaskedLM.from_pretrained("dbourget/pb-small-53K", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb9e485ce05e9bd2efb7ba94774ddb254f24c558d63c981c68c7c5f89d42af71
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size 438081024
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