Instructions to use PSW/mediasumgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/mediasumgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/mediasumgen") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/mediasumgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/mediasumgen: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/PSW/mediasumgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/mediasumgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/mediasumgen/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- a22a4bb88b05c23f0fb37913e12acb7357aff4787621a2b384f603dacd4d2a4a
- Size of remote file:
- 1.07 GB
- SHA256:
- c24132c3aa2b7281dff7904bbcf3ea81308efd3895d645b15b35d68bb701a6ca
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