Question Answering
Transformers
PyTorch
TensorBoard
Safetensors
English
deberta-v2
Generated from Trainer
Instructions to use LLukas22/deberta-v3-base-qa-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LLukas22/deberta-v3-base-qa-en 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="LLukas22/deberta-v3-base-qa-en")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("LLukas22/deberta-v3-base-qa-en") model = AutoModelForQuestionAnswering.from_pretrained("LLukas22/deberta-v3-base-qa-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from LLukas22/deberta-v3-base-qa-en: direct link, hf CLI and curl.
- Browser
- Download file 735 MB
-
https://huggingface.co/LLukas22/deberta-v3-base-qa-en/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://LLukas22/deberta-v3-base-qa-en/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/LLukas22/deberta-v3-base-qa-en/resolve/main/pytorch_model.bin
735 MB
- Xet hash:
- 8bd1efd2ebc389c86b5fb41f2455f0198f63535a4d035482f5d1167f1679ce3b
- Size of remote file:
- 735 MB
- SHA256:
- 19a5f2baf012a7e20ecca6e98046452bd4c7b81c9af405c7ba388570cb27ab2e
路
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