Transformers
PyTorch
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use Hari93/res with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Hari93/res with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Hari93/res") model = AutoModelForSeq2SeqLM.from_pretrained("Hari93/res", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from Hari93/res: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/Hari93/res/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://Hari93/res/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Hari93/res/resolve/main/pytorch_model.bin
990 MB
- Xet hash:
- 01722349c88e5b6c79558d6214aae5bad4cfa34b6cfded34a3a17a2dd2248830
- Size of remote file:
- 990 MB
- SHA256:
- d1824b4aa74a67d5b28954d612e069d85852abc5fcff36df753a5992c6fcd727
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