Instructions to use hadifar/summarizer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hadifar/summarizer with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hadifar/summarizer") model = AutoModelForSeq2SeqLM.from_pretrained("hadifar/summarizer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7be1d027d2407dc66312abd01af7e2ae6f293fb8151e78f6baa08b53f3b0d9de
- Size of remote file:
- 558 MB
- SHA256:
- f750e93b7672c58852beca560b5aa654771ec06c4c3199ab8b263c52eb2eee88
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