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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:e25a778aa16cdc9ba2733355eaf523b7cb6ca53f4cc5a179ffca99eeb6b6bbba
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size 554441224
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