Instructions to use idanpers/electra-trainer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use idanpers/electra-trainer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="idanpers/electra-trainer")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("idanpers/electra-trainer") model = AutoModelForSequenceClassification.from_pretrained("idanpers/electra-trainer") - 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 sha256:45b619a5deefe9c723cb03aa96eef4fd7287739d659c5467ac412900106deb9e
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size 437959248
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