Instructions to use yayima/local_cmrc2018_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yayima/local_cmrc2018_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="yayima/local_cmrc2018_model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("yayima/local_cmrc2018_model") model = AutoModelForQuestionAnswering.from_pretrained("yayima/local_cmrc2018_model") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoTokenizer, AutoModelForQuestionAnswering
tokenizer = AutoTokenizer.from_pretrained("yayima/local_cmrc2018_model")
model = AutoModelForQuestionAnswering.from_pretrained("yayima/local_cmrc2018_model")Quick Links
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="yayima/local_cmrc2018_model")