Instructions to use tamhuynh27/deberta-base-finetuned-plot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use tamhuynh27/deberta-base-finetuned-plot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="tamhuynh27/deberta-base-finetuned-plot")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("tamhuynh27/deberta-base-finetuned-plot") model = AutoModelForQuestionAnswering.from_pretrained("tamhuynh27/deberta-base-finetuned-plot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3d1231c2473f10913c2bbb15fb8fd23dba364142ca84a1a055bee0e465c53ef
- Size of remote file:
- 554 MB
- SHA256:
- 6a08b11c2bb115fb9ac0e192eafa980ced9b480cf6f2edd11754ddaffaf9d7e6
路
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