Instructions to use krisGPT/electra_teacher with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use krisGPT/electra_teacher with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="krisGPT/electra_teacher")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("krisGPT/electra_teacher") model = AutoModelForTokenClassification.from_pretrained("krisGPT/electra_teacher", 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 sha256:1111a18c158229cbf63c158403352ead0d5651cd59f3c1b708f4c7a3b5e9aeba
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size 49157436
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