Instructions to use MiriUll/distilbert-german-text-complexity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MiriUll/distilbert-german-text-complexity with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MiriUll/distilbert-german-text-complexity")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MiriUll/distilbert-german-text-complexity") model = AutoModelForSequenceClassification.from_pretrained("MiriUll/distilbert-german-text-complexity") - Notebooks
- Google Colab
- Kaggle
Commit History
Update README.md 8aa5c26
Create README.md 1a1b027
Miriam Anschütz commited on
Upload vocab.txt 3eecf19
Miriam Anschütz commited on
Upload training_args.bin a060921
Miriam Anschütz commited on
Upload tokenizer_config.json b3226f3
Miriam Anschütz commited on
Upload special_tokens_map.json 8d78d7b
Miriam Anschütz commited on
Upload pytorch_model.bin 793f221
Miriam Anschütz commited on
Upload config.json 1ee8b9f
Miriam Anschütz commited on
initial commit 8da6b3f
Miriam Anschütz commited on