Instructions to use faisalahmad/summarizer2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faisalahmad/summarizer2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("faisalahmad/summarizer2") model = AutoModelForSeq2SeqLM.from_pretrained("faisalahmad/summarizer2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from faisalahmad/summarizer2: direct link, hf CLI and curl.
- Browser
- Download file 2.28 GB
-
https://huggingface.co/faisalahmad/summarizer2/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://faisalahmad/summarizer2/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/faisalahmad/summarizer2/resolve/main/pytorch_model.bin
2.28 GB
- Xet hash:
- d0d053421954c0dc0c088055ee5201ce351e407fa545f34acc1ab489e5eaa308
- Size of remote file:
- 2.28 GB
- SHA256:
- 90d99951dff2897a01a912409bda3f7649ce576cf7428e3efb8d1ccd6268b4c8
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