Instructions to use Adrian/distilbert-base-uncased-finetuned-squad-colab with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adrian/distilbert-base-uncased-finetuned-squad-colab 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="Adrian/distilbert-base-uncased-finetuned-squad-colab")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Adrian/distilbert-base-uncased-finetuned-squad-colab") model = AutoModelForQuestionAnswering.from_pretrained("Adrian/distilbert-base-uncased-finetuned-squad-colab", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#3 opened over 1 year ago
by
SFconvertbot
Add evaluation results on the adversarialQA config and validation split of adversarial_qa
#2 opened about 4 years ago
by
autoevaluator
Add evaluation results on the squad_v2 config and validation split of squad_v2
#1 opened about 4 years ago
by
autoevaluator