Instructions to use YakovElm/Apache15_ElectraModel_full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YakovElm/Apache15_ElectraModel_full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="YakovElm/Apache15_ElectraModel_full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("YakovElm/Apache15_ElectraModel_full") model = AutoModelForSequenceClassification.from_pretrained("YakovElm/Apache15_ElectraModel_full") - 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 sha256:80047ec0f9d9b22e5336c33a78cea5afea0722c05e423fb7c8f9bb89e40fa323
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size 437963432
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