Instructions to use FredNajjar/bigbird-QA-squad_v2.4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FredNajjar/bigbird-QA-squad_v2.4 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FredNajjar/bigbird-QA-squad_v2.4")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("FredNajjar/bigbird-QA-squad_v2.4") model = AutoModelForQuestionAnswering.from_pretrained("FredNajjar/bigbird-QA-squad_v2.4") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4bfb00bd37db18b9f49806e88985c271ad00996628cd86581d6722f1cbc11da
- Size of remote file:
- 526 MB
- SHA256:
- 35e90c18f6cd0c4659828e2565e02698cc89ae296d20efbf2783a0a4ac2c31ac
路
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