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:
- 881c864c34b438fd31738c07985305cb7a002b16fdcaa1e0e0812e108c3b0569
- Size of remote file:
- 4.73 kB
- SHA256:
- d5c9c810f570695e55526c42279a58acbf6580876ed75e6dddbee64fc7082122
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