Instructions to use Geotrend/distilbert-base-25lang-cased with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Geotrend/distilbert-base-25lang-cased with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Geotrend/distilbert-base-25lang-cased")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Geotrend/distilbert-base-25lang-cased") model = AutoModelForMaskedLM.from_pretrained("Geotrend/distilbert-base-25lang-cased", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from Geotrend/distilbert-base-25lang-cased: direct link, hf CLI and curl.
- Browser
- Download file 49 Bytes
-
https://huggingface.co/Geotrend/distilbert-base-25lang-cased/resolve/b0416cc7e6c45e80307d5d01c9337d6b056dcc94/tokenizer_config.json
- Command line
-
hf download hf://Geotrend/distilbert-base-25lang-cased@b0416cc7e6c45e80307d5d01c9337d6b056dcc94/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/Geotrend/distilbert-base-25lang-cased/resolve/b0416cc7e6c45e80307d5d01c9337d6b056dcc94/tokenizer_config.json
49 Bytes
| {"do_lower_case": false, "model_max_length": 512} |