Instructions to use ZYW/squad-mbart-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ZYW/squad-mbart-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="ZYW/squad-mbart-model")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("ZYW/squad-mbart-model") model = AutoModelForQuestionAnswering.from_pretrained("ZYW/squad-mbart-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from ZYW/squad-mbart-model: direct link, hf CLI and curl.
- Browser
- Download file 2.44 GB
-
https://huggingface.co/ZYW/squad-mbart-model/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://ZYW/squad-mbart-model/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/ZYW/squad-mbart-model/resolve/main/pytorch_model.bin
2.44 GB
- Xet hash:
- 11767173f5e3aa19666e7a36e07f2c711731f2dadfb2c7867c197b8168912f62
- Size of remote file:
- 2.44 GB
- SHA256:
- e9374d19566a85ff524625744af8b612fd7bf96138d7cbe2293478a4fc51934c
路
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