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