Question Answering
Transformers
ONNX
Safetensors
Transformers.js
English
deberta-v2
extractive-qa
information-extraction
personal-knowledge
topos
Instructions to use Dialogues/topos-facts-reader-v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Dialogues/topos-facts-reader-v0.1 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="Dialogues/topos-facts-reader-v0.1")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Dialogues/topos-facts-reader-v0.1") model = AutoModelForQuestionAnswering.from_pretrained("Dialogues/topos-facts-reader-v0.1", device_map="auto") - Transformers.js
How to use Dialogues/topos-facts-reader-v0.1 with Transformers.js:
// npm i @huggingface/transformers import { pipeline } from '@huggingface/transformers'; // Allocate pipeline const pipe = await pipeline('question-answering', 'Dialogues/topos-facts-reader-v0.1'); - Notebooks
- Google Colab
- Kaggle
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