Instructions to use Ifenna/dbert-3epoch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ifenna/dbert-3epoch 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="Ifenna/dbert-3epoch")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Ifenna/dbert-3epoch") model = AutoModelForQuestionAnswering.from_pretrained("Ifenna/dbert-3epoch", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from Ifenna/dbert-3epoch: direct link, hf CLI and curl.
- Browser
- Download file 160 Bytes
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https://huggingface.co/Ifenna/dbert-3epoch/resolve/main/README.md
- Command line
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hf download hf://Ifenna/dbert-3epoch/README.md
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curl -L -o README.md https://huggingface.co/Ifenna/dbert-3epoch/resolve/main/README.md
160 Bytes
metadata
datasets:
- squad_v2
- wiki_qa
language:
- en
metrics:
- accuracy
pipeline_tag: question-answering
A distilbert model fine-tuned for question answering.