Instructions to use Nadav/roberta-base-squad-nl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nadav/roberta-base-squad-nl with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Nadav/roberta-base-squad-nl")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nadav/roberta-base-squad-nl") model = AutoModelForQuestionAnswering.from_pretrained("Nadav/roberta-base-squad-nl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Nadav/roberta-base-squad-nl: direct link, hf CLI and curl.
- Browser
- Download file 1.12 MB
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https://huggingface.co/Nadav/roberta-base-squad-nl/resolve/main/tokenizer.json
- Command line
-
hf download hf://Nadav/roberta-base-squad-nl/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/Nadav/roberta-base-squad-nl/resolve/main/tokenizer.json
1.12 MB
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