Instructions to use bowphs/t5-homer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bowphs/t5-homer with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("bowphs/t5-homer") model = AutoModelForSeq2SeqLM.from_pretrained("bowphs/t5-homer", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Saving weights and logs of step 1960000
Browse files
events.out.tfevents.1664629010.t1v-n-2bca04d2-w-0.43279.0.v2
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training_state.json
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{"step":
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{"step": 1960001}
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