Instructions to use prodm93/T5Dynamic_title_model_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prodm93/T5Dynamic_title_model_v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("prodm93/T5Dynamic_title_model_v1") model = AutoModelForSeq2SeqLM.from_pretrained("prodm93/T5Dynamic_title_model_v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from prodm93/T5Dynamic_title_model_v1: direct link, hf CLI and curl.
- Browser
- Download file 892 MB
-
https://huggingface.co/prodm93/T5Dynamic_title_model_v1/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://prodm93/T5Dynamic_title_model_v1/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/prodm93/T5Dynamic_title_model_v1/resolve/main/pytorch_model.bin
892 MB
- Xet hash:
- 1183c8807767ed15dfdb2a5e1fcaa29581ac0a1dfa96cc4b35c9ffcce5e3603d
- Size of remote file:
- 892 MB
- SHA256:
- 26c185b8cfe3d16fdec9d130d744b74ff2009d27444e2cca0b56e82bf04fe72a
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