Instructions to use delmaksym/aacl22.scale_pre with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delmaksym/aacl22.scale_pre with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="delmaksym/aacl22.scale_pre")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("delmaksym/aacl22.scale_pre") model = AutoModel.from_pretrained("delmaksym/aacl22.scale_pre") - 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 sha256:07c2d5c63bf400c766fee9a9fc90046623271fc1b81f645a41b56f44d47a8d8e
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size 503945216
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