Instructions to use hamishivi/hypertask_T0_11B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hamishivi/hypertask_T0_11B with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("hamishivi/hypertask_T0_11B") model = AutoModelForSeq2SeqLM.from_pretrained("hamishivi/hypertask_T0_11B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e1a398802167f6b725499b1730f3882c78fb14fb392d325c85ef47f0f2388028
- Size of remote file:
- 44.5 GB
- SHA256:
- 02d598c999d2694ba431a3d327157f75e79cf6713965c72cd030b574dd720959
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