Instructions to use deepset/tinyroberta-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deepset/tinyroberta-squad2 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="deepset/tinyroberta-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("deepset/tinyroberta-squad2") model = AutoModelForQuestionAnswering.from_pretrained("deepset/tinyroberta-squad2", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from deepset/tinyroberta-squad2: direct link, hf CLI and curl.
- Browser
- Download file 326 MB
-
https://huggingface.co/deepset/tinyroberta-squad2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://deepset/tinyroberta-squad2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/deepset/tinyroberta-squad2/resolve/main/pytorch_model.bin
326 MB
- Xet hash:
- 705f875980e58c831591191d275264ab82ae1b8aee1b707dd08bf317d2e57709
- Size of remote file:
- 326 MB
- SHA256:
- 20d4e188516befd95769e0e85bd84fcae68bc6b8a1888d4d19268990f66e00ac
路
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