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 ckpt-1500000.tar.gz from german-nlp-group/electra-base-german-uncased: direct link, hf CLI and curl.
- Browser
- Download file 1.33 GB
-
https://huggingface.co/german-nlp-group/electra-base-german-uncased/resolve/main/ckpt-1500000.tar.gz
- Command line
-
hf download hf://german-nlp-group/electra-base-german-uncased/ckpt-1500000.tar.gz
-
curl -L -o ckpt-1500000.tar.gz https://huggingface.co/german-nlp-group/electra-base-german-uncased/resolve/main/ckpt-1500000.tar.gz
1.33 GB
- Xet hash:
- 44626c952194e57b97e2120df9372fc45f4f23ed8066205a9652b687eadca476
- Size of remote file:
- 1.33 GB
- SHA256:
- 0e7a2f055345745f8745c2c467f02f7fb6c381d866866ca7e453a4479e965c06
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.