Transformers
PyTorch
Safetensors
German
electra
pretraining
commoncrawl
uncased
umlaute
umlauts
german
deutsch
Instructions to use german-nlp-group/electra-base-german-uncased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use german-nlp-group/electra-base-german-uncased with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForPreTraining tokenizer = AutoTokenizer.from_pretrained("german-nlp-group/electra-base-german-uncased") model = AutoModelForPreTraining.from_pretrained("german-nlp-group/electra-base-german-uncased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from german-nlp-group/electra-base-german-uncased: direct link, hf CLI and curl.
- Browser
- Download file 445 MB
-
https://huggingface.co/german-nlp-group/electra-base-german-uncased/resolve/main/model.safetensors
- Command line
-
hf download hf://german-nlp-group/electra-base-german-uncased/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/german-nlp-group/electra-base-german-uncased/resolve/main/model.safetensors
445 MB
- Xet hash:
- ef9fbeace9004cfc32524f26a8960f4bb2be94ab0b30a14496205258662fcf3c
- Size of remote file:
- 445 MB
- SHA256:
- d219799caf7bd9ce11054e3752f688d8a684b84e4d6e5065912ed2fbd7523b81
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