Instructions to use alhosseinjr/summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alhosseinjr/summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("alhosseinjr/summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("alhosseinjr/summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e07ec167872216436619c368162f5e8ed9790f5dac507e9802cddd299bb89d2
- Size of remote file:
- 5.33 kB
- SHA256:
- 9cfe5044eeb4c6296eb7a755b33a13fee763fa442bb629369d37f14dea5b1439
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.