Question Answering
Transformers
PyTorch
Safetensors
English
t5
squad
squad_v2
custom_code
Eval Results (legacy)
text-generation-inference
Instructions to use sjrhuschlee/flan-t5-base-squad2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use sjrhuschlee/flan-t5-base-squad2 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="sjrhuschlee/flan-t5-base-squad2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("sjrhuschlee/flan-t5-base-squad2", trust_remote_code=True) model = AutoModelForQuestionAnswering.from_pretrained("sjrhuschlee/flan-t5-base-squad2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle