Instructions to use Everlyn/transformer_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Everlyn/transformer_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Everlyn/transformer_base")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("Everlyn/transformer_base") model = AutoModel.from_pretrained("Everlyn/transformer_base") - 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 sha256:80ef79f772d0087c117aa51dfb022af913feb90579fd9bc5b0e9bb8ef9812682
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size 281646960
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