Instructions to use mamlong34/t5_small_race_mutlirc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mamlong34/t5_small_race_mutlirc with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("mamlong34/t5_small_race_mutlirc") model = AutoModelForSeq2SeqLM.from_pretrained("mamlong34/t5_small_race_mutlirc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 762d2b133f20dd30016cbba3ee64cfb169db4f514ff6ddfa34ab051229bdfb11
- Size of remote file:
- 242 MB
- SHA256:
- 4ef7def679f64237cd2cb51f24466df5271874c58947f0aa711f773f78699c25
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