Instructions to use inesctec/CitiLink-XLMR-large-Structural-Segmentation-en with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inesctec/CitiLink-XLMR-large-Structural-Segmentation-en with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="inesctec/CitiLink-XLMR-large-Structural-Segmentation-en")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("inesctec/CitiLink-XLMR-large-Structural-Segmentation-en") model = AutoModelForQuestionAnswering.from_pretrained("inesctec/CitiLink-XLMR-large-Structural-Segmentation-en", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf5bf1fc7152511fb91110a42cb9e44f079721b4214f15365e881780b0bb6b62
- Size of remote file:
- 5.78 kB
- SHA256:
- 546c8ec2dd3babbaac1c50d18d820a7e931eafa00c161d2dabb6346db6a51aec
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