Instructions to use faisalahmad/summarizer1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use faisalahmad/summarizer1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("faisalahmad/summarizer1") model = AutoModelForSeq2SeqLM.from_pretrained("faisalahmad/summarizer1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download sample_input.pkl from faisalahmad/summarizer1: direct link, hf CLI and curl.
- Browser
- Download file 41.5 kB
-
https://huggingface.co/faisalahmad/summarizer1/resolve/main/sample_input.pkl
- Command line
-
hf download hf://faisalahmad/summarizer1/sample_input.pkl
-
curl -L -o sample_input.pkl https://huggingface.co/faisalahmad/summarizer1/resolve/main/sample_input.pkl
41.5 kB
- Xet hash:
- 857ae7247f15c251dfd3ad7ba41a7dc09940c95b16cbd15af0ff1f422f0ea4df
- Size of remote file:
- 41.5 kB
- SHA256:
- 7324dcf897a142304091658a0782b7be2c60d14c739296717653bf520bc1bf65
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