Instructions to use mshaffer/flan-t5-base-depressed-v0.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mshaffer/flan-t5-base-depressed-v0.5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mshaffer/flan-t5-base-depressed-v0.5") model = AutoModelForSeq2SeqLM.from_pretrained("mshaffer/flan-t5-base-depressed-v0.5") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fa50859baed7c4006c15c63586ffe8f79d11b3d660b91d884ebd13f4d5d03546
- Size of remote file:
- 5.11 kB
- SHA256:
- 134507939c9210844159c8bdccad2d47a20b43e06094f663d81c34a0f891536e
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