Instructions to use DTAI-KULeuven/robbert-2022-dutch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DTAI-KULeuven/robbert-2022-dutch-base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DTAI-KULeuven/robbert-2022-dutch-base")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base") model = AutoModelForMaskedLM.from_pretrained("DTAI-KULeuven/robbert-2022-dutch-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from DTAI-KULeuven/robbert-2022-dutch-base: direct link, hf CLI and curl.
- Browser
- Download file 476 MB
-
https://huggingface.co/DTAI-KULeuven/robbert-2022-dutch-base/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://DTAI-KULeuven/robbert-2022-dutch-base/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/DTAI-KULeuven/robbert-2022-dutch-base/resolve/main/pytorch_model.bin
476 MB
- Xet hash:
- dc641a69e4d68efe8207386a44812e75ce8acd4fbab3bd59115f49cf64617e49
- Size of remote file:
- 476 MB
- SHA256:
- 431af58f3da03e5456dd04514cc1ecc538c65b64c1c97cd9464f7d66bf26a9cc
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