Instructions to use ShengdingHu/rte with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShengdingHu/rte with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("ShengdingHu/rte") model = AutoModelForSeq2SeqLM.from_pretrained("ShengdingHu/rte", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit ·
68e2c98
1
Parent(s): 7615b37
Training in progress, epoch 1
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- pytorch_model.bin +2 -2
- runs/Jan29_11-35-56_node4/events.out.tfevents.1643427381.node4 +2 -2
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- runs/Jan29_12-47-43_node4/events.out.tfevents.1643431691.node4 +3 -0
- train_results.json +4 -4
- trainer_state.json +58 -58
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