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
End of training
Browse files- all_results.json +8 -8
- eval_results.json +6 -5
- pytorch_model.bin +1 -1
- train_results.json +3 -3
- trainer_state.json +15 -15
all_results.json
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eval_results.json
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pytorch_model.bin
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train_results.json
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trainer_state.json
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