Instructions to use mllm-dev/t5_f_experiment_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/t5_f_experiment_0 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mllm-dev/t5_f_experiment_0") model = AutoModelForSeq2SeqLM.from_pretrained("mllm-dev/t5_f_experiment_0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8c7b7b3e8a37bcb0e18b3976efdd55cd0433f339b47fc979b76fb8945df9b496
- Size of remote file:
- 484 MB
- SHA256:
- ea1583b2f4edc48a289e681d50028c34d52c0a3a2b72a3e9bf4a1f1704968899
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