Instructions to use Ayham/roberta_bert_summarization_cnn_dailymail with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ayham/roberta_bert_summarization_cnn_dailymail with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Ayham/roberta_bert_summarization_cnn_dailymail") model = AutoModelForSeq2SeqLM.from_pretrained("Ayham/roberta_bert_summarization_cnn_dailymail", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Ayham/roberta_bert_summarization_cnn_dailymail: direct link, hf CLI and curl.
- Browser
- Download file 1.05 GB
-
https://huggingface.co/Ayham/roberta_bert_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Ayham/roberta_bert_summarization_cnn_dailymail/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Ayham/roberta_bert_summarization_cnn_dailymail/resolve/main/pytorch_model.bin
1.05 GB
- Xet hash:
- 30d0bfa60974b6edcf9f2148d3e8dbaccd7e3620b484bc0fdce4fca081119325
- Size of remote file:
- 1.05 GB
- SHA256:
- 346eb01f5e17364178a65f8b114a771f52d215cef2741b909d01f3b17062e0cd
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