Instructions to use patrickvonplaten/t5-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use patrickvonplaten/t5-tiny-random with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("patrickvonplaten/t5-tiny-random") model = AutoModelForSeq2SeqLM.from_pretrained("patrickvonplaten/t5-tiny-random", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# ArXiv-NLP GPT-2 checkpoint
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This is a GPT-2 small checkpoint for PyTorch. It is the official `gpt2-small` fine-tuned to ArXiv paper on the computational linguistics field.
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## Training data
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This model was trained on a subset of ArXiv papers that were parsed from PDF to txt. The resulting data is made of 80MB of text from the computational linguistics (cs.CL) field.
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