Instructions to use mllm-dev/t5_f_experiment_3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/t5_f_experiment_3 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mllm-dev/t5_f_experiment_3") model = AutoModelForSeq2SeqLM.from_pretrained("mllm-dev/t5_f_experiment_3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c0485c4ce3d27a9d77d3d431ec5d5b82fe1e97c09c851f242a1055b7e6906381
- Size of remote file:
- 484 MB
- SHA256:
- b189b50b6f97761a6ebb4094ae54a0b08895c753b83f4a388025e34e6f91585e
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