Instructions to use tim1134/electra-3layer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tim1134/electra-3layer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="tim1134/electra-3layer")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("tim1134/electra-3layer") model = AutoModelForTokenClassification.from_pretrained("tim1134/electra-3layer", 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:ecfae9bdad528d7c24a787f42ffca187bbb098417f00e3e33bc30ff6a27cf985
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size 31658228
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