Instructions to use PSW/tweetsummgen with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/tweetsummgen with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/tweetsummgen") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/tweetsummgen", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/tweetsummgen: direct link, hf CLI and curl.
- Browser
- Download file 1.07 GB
-
https://huggingface.co/PSW/tweetsummgen/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/tweetsummgen/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/tweetsummgen/resolve/main/pytorch_model.bin
1.07 GB
- Xet hash:
- 4a2b016b63c7e02006078df35c88fbd13f8e710dd65c03a60089d7baaa89c8cc
- Size of remote file:
- 1.07 GB
- SHA256:
- 54748c0be3722c7a013b922248051fac95be0da601d7a5724986dc33578595aa
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