Instructions to use devpranjal/deberta-v3-base-devrev-data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use devpranjal/deberta-v3-base-devrev-data with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="devpranjal/deberta-v3-base-devrev-data")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("devpranjal/deberta-v3-base-devrev-data") model = AutoModelForQuestionAnswering.from_pretrained("devpranjal/deberta-v3-base-devrev-data", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 249b9271b50515e475329431efb98bbafc64b689861c7ac496aff7fca493a0ba
- Size of remote file:
- 735 MB
- SHA256:
- 2484fef32df20b94ba2fd71462185f2c7c61e9c6accb907e070b6c3945dbe92a
路
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