Instructions to use nandwalritik/t5_cpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nandwalritik/t5_cpu with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("nandwalritik/t5_cpu") model = AutoModelForSeq2SeqLM.from_pretrained("nandwalritik/t5_cpu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ce24f7c80d849d690127946f7781d85d9ecbac1392d8db24f07baa95489e5ae0
- Size of remote file:
- 892 MB
- SHA256:
- 20ac3d1385a15175b8420d04c9c2ef779e87696e80d2b2f9e538028ab3ee291e
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