Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Instructions to use cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering") model = AutoModelForSeq2SeqLM.from_pretrained("cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering/resolve/f2183e0a9e0e3115b397c64d4ea6b9f29100b8cb/tokenizer.json
- Command line
-
hf download hf://cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering@f2183e0a9e0e3115b397c64d4ea6b9f29100b8cb/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/cheaptrix/TokenizerTestingMTSUFall2024SoftwareEngineering/resolve/f2183e0a9e0e3115b397c64d4ea6b9f29100b8cb/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.