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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9f63336149c1e155aeb953a90b8e5f816e25c60029216d5941047eb56addc1cb
- Size of remote file:
- 2.93 kB
- SHA256:
- 84855d054fb033fd43e6359828b883c190b697d2e20fbdf076dfa872df1f741c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.