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:
- 9c487a0130eb4bb68eb6c367f545833b20e4227ba36c18c40e795a76c895e18d
- Size of remote file:
- 484 MB
- SHA256:
- 707ec5647d7d1fc279d7fa5d8124f0aea320571d73046be78735c4ba600e696d
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