Instructions to use sagawa/ZINC-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sagawa/ZINC-deberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="sagawa/ZINC-deberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("sagawa/ZINC-deberta") model = AutoModelForMaskedLM.from_pretrained("sagawa/ZINC-deberta") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#2
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:eeab442b0903dcc2ccf4a51907aad92d82f924bb2ad3390a15bc636a587e0129
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size 403306544
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