Instructions to use Nadav/robbert-dutch-base-squad-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/robbert-dutch-base-squad-nl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Nadav/robbert-dutch-base-squad-nl")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nadav/robbert-dutch-base-squad-nl") model = AutoModelForQuestionAnswering.from_pretrained("Nadav/robbert-dutch-base-squad-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Nadav/robbert-dutch-base-squad-nl: direct link, hf CLI and curl.
- Browser
- Download file 3.64 kB
-
https://huggingface.co/Nadav/robbert-dutch-base-squad-nl/resolve/main/training_args.bin
- Command line
-
hf download hf://Nadav/robbert-dutch-base-squad-nl/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Nadav/robbert-dutch-base-squad-nl/resolve/main/training_args.bin
3.64 kB
- Xet hash:
- 4d2479894cb9397315319d3d41e156336690eb4279a3772c09554ff9d08d0bcf
- Size of remote file:
- 3.64 kB
- SHA256:
- cc1e16af62425396f2ca51fddc8ceda5c96c2e5731a500b40b356d59d9af67be
路
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