Instructions to use blackhole33/ExtractQuestionAnswer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use blackhole33/ExtractQuestionAnswer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="blackhole33/ExtractQuestionAnswer")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("blackhole33/ExtractQuestionAnswer") model = AutoModelForQuestionAnswering.from_pretrained("blackhole33/ExtractQuestionAnswer") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("blackhole33/ExtractQuestionAnswer")
model = AutoModelForQuestionAnswering.from_pretrained("blackhole33/ExtractQuestionAnswer")Quick Links
Model description
ExtractQuestionAnswer model bu open-source modellardan olindi, asosiy maqsat dataset taxlash uchun ishlatiladi. Foydalanuvchilar bemalol kunlik tasklarni bajarish uchun ishlatsa bo'ladi, va Space workspace ham mavjud.
Keyinchlik kuchli va Abstract model ishlab chiqarish uchun ishlatiladi. Dataset ko'rinishi: SQUAD kabi bo'adi.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="blackhole33/ExtractQuestionAnswer")