Instructions to use mllm-dev/t5_f_experiment_1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mllm-dev/t5_f_experiment_1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mllm-dev/t5_f_experiment_1") model = AutoModelForSeq2SeqLM.from_pretrained("mllm-dev/t5_f_experiment_1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cd70e3509ec2660a82238f9f3943e570dd681bd0ca777bead294a538d533a8f2
- Size of remote file:
- 484 MB
- SHA256:
- e58aecdf158cc9df060509466265bc90c5d21a1a25695ba7f3ddf12e5cd470bb
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