Instructions to use ModelTC/bart-base-squad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelTC/bart-base-squad with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ModelTC/bart-base-squad")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ModelTC/bart-base-squad") model = AutoModelForQuestionAnswering.from_pretrained("ModelTC/bart-base-squad", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dae8933965d401d081d8cb6963a14cad3c68c9ad769a61e42226e933690687a6
- Size of remote file:
- 558 MB
- SHA256:
- 858bb72c93d7861905c3e71612be0af031fd30f1913ec553d4eb4cc5809f0d06
路
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