Instructions to use PSW/t5-base-tweetsumm-reverse-train with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PSW/t5-base-tweetsumm-reverse-train with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("PSW/t5-base-tweetsumm-reverse-train") model = AutoModelForSeq2SeqLM.from_pretrained("PSW/t5-base-tweetsumm-reverse-train", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from PSW/t5-base-tweetsumm-reverse-train: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/PSW/t5-base-tweetsumm-reverse-train/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://PSW/t5-base-tweetsumm-reverse-train/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/PSW/t5-base-tweetsumm-reverse-train/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 98bdcf6ec345bc38c71ab603a927979a2c1558a36c3e56ca41aa1d41c31489ab
- Size of remote file:
- 892 MB
- SHA256:
- c1da40a67d6be3a6b96135f665da14f6f1576c886c8acdce3a8ec72b4d760d12
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