Instructions to use hhhhzy/deltalm-base-xlsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hhhhzy/deltalm-base-xlsum with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "summarization" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # 'pip install "transformers<5.0.0' from transformers import pipeline pipe = pipeline("summarization", model="hhhhzy/deltalm-base-xlsum")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("hhhhzy/deltalm-base-xlsum", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from hhhhzy/deltalm-base-xlsum: direct link, hf CLI and curl.
- Browser
- Download file 1.45 GB
-
https://huggingface.co/hhhhzy/deltalm-base-xlsum/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://hhhhzy/deltalm-base-xlsum/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/hhhhzy/deltalm-base-xlsum/resolve/main/pytorch_model.bin
1.45 GB
- Xet hash:
- c30423c7e1bfbc5933ba3c9a4bbde55b7a9c5bb7f55e7dd624eccdfe59f4b0fd
- Size of remote file:
- 1.45 GB
- SHA256:
- 4e7de4695abf6b5f9c3d50dd2a5d1f75fe6fc4984211b60c2b3f4c6cb43b114f
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