Instructions to use Ayham/albert_distilgpt2_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/albert_distilgpt2_summarization_cnn_dailymail with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/albert_distilgpt2_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/albert_distilgpt2_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ayham/albert_distilgpt2_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 444 MB
-
https://huggingface.co/Ayham/albert_distilgpt2_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/albert_distilgpt2_summarization_cnn_dailymail/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/albert_distilgpt2_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
444 MB
- Xet hash:
- da82c0813a4bc4b5f3adc31070e8c10e5929f29ba9e4fb55c72b1ee85ce7f9db
- Size of remote file:
- 444 MB
- SHA256:
- 59d4b60082e8907c8287e115cc81ef2d4483b488a156af5d1afbfeee014525cb
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