Instructions to use PSW/bart-base-tweetsumm with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/bart-base-tweetsumm with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/bart-base-tweetsumm") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/bart-base-tweetsumm", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/bart-base-tweetsumm: direct link, hf CLI and curl.
- Browser
- Download file 558 MB
-
https://huggingface.co/PSW/bart-base-tweetsumm/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/bart-base-tweetsumm/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/bart-base-tweetsumm/resolve/main/pytorch_model.bin
558 MB
- Xet hash:
- ba5321e1e041f6664ba078ca7e40b61d26ddea216cfac46be415cd0a488fa3de
- Size of remote file:
- 558 MB
- SHA256:
- 775eb0669f18f837605b3d08c9206d8a4c931e5d34d45ba4cb487935b1772d78
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