Instructions to use Mahmoud8/google-electra-small-generator with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Mahmoud8/google-electra-small-generator with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Mahmoud8/google-electra-small-generator")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Mahmoud8/google-electra-small-generator") model = AutoModelForSequenceClassification.from_pretrained("Mahmoud8/google-electra-small-generator", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Mahmoud8/google-electra-small-generator: direct link, hf CLI and curl.
- Browser
- Download file 54.3 MB
-
https://huggingface.co/Mahmoud8/google-electra-small-generator/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Mahmoud8/google-electra-small-generator/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Mahmoud8/google-electra-small-generator/resolve/main/pytorch_model.bin
54.3 MB
- Xet hash:
- 623de36d5a60639a0bacb7e5b66a3d10a4cc4ce9aa064f39f6c9783543e58d30
- Size of remote file:
- 54.3 MB
- SHA256:
- db1f9e292d5a3a7c83dd01f6178a68537310d788dd8f6686af48d0026903271f
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