Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
English
deberta
Generated from Trainer
Instructions to use saket12-hf/deberta-base-finetuned-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use saket12-hf/deberta-base-finetuned-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="saket12-hf/deberta-base-finetuned-squad2")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("saket12-hf/deberta-base-finetuned-squad2") model = AutoModelForQuestionAnswering.from_pretrained("saket12-hf/deberta-base-finetuned-squad2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from saket12-hf/deberta-base-finetuned-squad2: direct link, hf CLI and curl.
- Browser
- Download file 554 MB
-
https://huggingface.co/saket12-hf/deberta-base-finetuned-squad2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://saket12-hf/deberta-base-finetuned-squad2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/saket12-hf/deberta-base-finetuned-squad2/resolve/main/pytorch_model.bin
554 MB
- Xet hash:
- 98517a315699c73a883ae9bf938c404d80dfebb2e3c2116a4d3d4a6372f70e79
- Size of remote file:
- 554 MB
- SHA256:
- ddcf711e3dbfd1aba927cabfeb953050a56778cd401defb2eb2055f106f3099f
路
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