Instructions to use Ayham/distilbert_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/distilbert_bert_summarization_cnn_dailymail with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/distilbert_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/distilbert_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ayham/distilbert_bert_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 812 MB
-
https://huggingface.co/Ayham/distilbert_bert_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/distilbert_bert_summarization_cnn_dailymail/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/distilbert_bert_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
812 MB
- Xet hash:
- 811f76835f2c0a6603a0c5eea696d50c990de87b8ccc5f25b0ba7ff77a1d2415
- Size of remote file:
- 812 MB
- SHA256:
- b4d16e2a56e15f9cd41950a2a690f31dcca835efc8c11a0e2752bb24e3f86909
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