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 pytorch_model.bin 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/pytorch_model.bin
- Command line
-
hf download hf://german-nlp-group/electra-base-german-uncased/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/german-nlp-group/electra-base-german-uncased/resolve/main/pytorch_model.bin
445 MB
- Xet hash:
- e6d01cf9f43f7e1e2ce18cf7dfb68a248985b822934632eaf16d95fb117c833f
- Size of remote file:
- 445 MB
- SHA256:
- a13cf267dfad08dd5c889af59f2e7f74120ff28107619d6c81904c3250efe76e
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.