Instructions to use deepset/roberta-base-squad2-distilled with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/roberta-base-squad2-distilled with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="deepset/roberta-base-squad2-distilled")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/roberta-base-squad2-distilled") model = AutoModelForQuestionAnswering.from_pretrained("deepset/roberta-base-squad2-distilled", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download model.safetensors from deepset/roberta-base-squad2-distilled: direct link, hf CLI and curl.
- Browser
- Download file 496 MB
-
https://huggingface.co/deepset/roberta-base-squad2-distilled/resolve/main/model.safetensors
- Command line
-
hf download hf://deepset/roberta-base-squad2-distilled/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/deepset/roberta-base-squad2-distilled/resolve/main/model.safetensors
496 MB
- Xet hash:
- 00d181b32f5771328633da932e4694109879b0b3f854bb20b146e4a4c3632006
- Size of remote file:
- 496 MB
- SHA256:
- 106dc06a09bae48ef4f4a69b9510e2d7bce9ba6536728f70ca779cdf1b2f6db3
路
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