Instructions to use hamishivi/hypertask_T0_3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamishivi/hypertask_T0_3B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hamishivi/hypertask_T0_3B") model = AutoModelForSeq2SeqLM.from_pretrained("hamishivi/hypertask_T0_3B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 38baba61ca7300bb4f5ee9c11b12eae33c2f933b8104e64ea568c22fbaa9221c
- Size of remote file:
- 11.4 GB
- SHA256:
- d24b1e7ae27208ba0cad3d43fc28806f092bf27d32951509888d4b039b757255
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