Instructions to use Saddammm/Model300T5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saddammm/Model300T5 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Saddammm/Model300T5") model = AutoModelForSeq2SeqLM.from_pretrained("Saddammm/Model300T5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download optimizer.pt from Saddammm/Model300T5: direct link, hf CLI and curl.
- Browser
- Download file 1.98 GB
-
https://huggingface.co/Saddammm/Model300T5/resolve/main/optimizer.pt
- Command line
-
hf download hf://Saddammm/Model300T5/optimizer.pt
-
curl -L -o optimizer.pt https://huggingface.co/Saddammm/Model300T5/resolve/main/optimizer.pt
1.98 GB
- Xet hash:
- 650b0ce97ff7e8eb61494e70700c82291f0ca1f1520848960459932aaa69a507
- Size of remote file:
- 1.98 GB
- SHA256:
- 00c10d43fa83425fc33738e1c6ae76dbd4da52b2e6e8ccaa9dba67d27e9ea02f
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