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 training_args.bin from saket12-hf/deberta-base-finetuned-squad2: direct link, hf CLI and curl.
- Browser
- Download file 3.96 kB
-
https://huggingface.co/saket12-hf/deberta-base-finetuned-squad2/resolve/main/training_args.bin
- Command line
-
hf download hf://saket12-hf/deberta-base-finetuned-squad2/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/saket12-hf/deberta-base-finetuned-squad2/resolve/main/training_args.bin
3.96 kB
- Xet hash:
- d1f0b1440354b63955247a280b6b15ff1c4d04a278420e990661a443685cf544
- Size of remote file:
- 3.96 kB
- SHA256:
- 0e8f5b31cd583a9c3c9065a8d19aedebed8189bfc27e9cb5941ffe8fed9332a1
路
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