Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering: direct link, hf CLI and curl.
- Browser
- Download file 242 MB
-
https://huggingface.co/nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering/resolve/main/model.safetensors
- Command line
-
hf download hf://nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/nahidcs/TokenizerTestingMTSUFall2024SoftwareEngineering/resolve/main/model.safetensors
242 MB
- Xet hash:
- 96a998319d2151b16b2977093312b86d2022178d75a5f95f48d39eaec067de18
- Size of remote file:
- 242 MB
- SHA256:
- 881ecd3d2e20cfb1ddf96ac598ad90a610007dfa4ff04cfc024e4afd118bc686
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