Instructions to use NebulaByte/flan_t5_small_squadv1_lora_extractive_qa_merged with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NebulaByte/flan_t5_small_squadv1_lora_extractive_qa_merged with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="NebulaByte/flan_t5_small_squadv1_lora_extractive_qa_merged")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("NebulaByte/flan_t5_small_squadv1_lora_extractive_qa_merged") model = AutoModelForQuestionAnswering.from_pretrained("NebulaByte/flan_t5_small_squadv1_lora_extractive_qa_merged") - Notebooks
- Google Colab
- Kaggle