Instructions to use mllm-dev/t5_f_experiment_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/t5_f_experiment_2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mllm-dev/t5_f_experiment_2") model = AutoModelForSeq2SeqLM.from_pretrained("mllm-dev/t5_f_experiment_2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 468bb2a8141e7d14a8b92c8686d316f21455e32bbb973deeb236730c7dfeaeaa
- Size of remote file:
- 4.73 kB
- SHA256:
- f2d4e2b52b8aef5eb9f5e6fd925b957108a20c1bb0bea4b21834fd52b1b8c450
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