Instructions to use baikal/electra-wp30 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use baikal/electra-wp30 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("baikal/electra-wp30") model = AutoModelForPreTraining.from_pretrained("baikal/electra-wp30", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from baikal/electra-wp30: direct link, hf CLI and curl.
- Browser
- Download file 436 MB
-
https://huggingface.co/baikal/electra-wp30/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://baikal/electra-wp30/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/baikal/electra-wp30/resolve/main/pytorch_model.bin
436 MB
- Xet hash:
- b33de2f43ace46c76d70b36a2a519b4d9c2875e44b6be761ce8fff7b9b07d2dc
- Size of remote file:
- 436 MB
- SHA256:
- b2ede08fa27eca313bc9baee748cd936728d68b85cd240f3ab6ed72b3a184f37
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