Instructions to use harish/t5-e2e-10epochs-lr1e4-alpha0-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use harish/t5-e2e-10epochs-lr1e4-alpha0-1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("harish/t5-e2e-10epochs-lr1e4-alpha0-1") model = AutoModelForSeq2SeqLM.from_pretrained("harish/t5-e2e-10epochs-lr1e4-alpha0-1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0393dce87423b434568507e8923b2e2dff79500931f5bc99200768c48334c061
- Size of remote file:
- 3.7 kB
- SHA256:
- 4e0b44eae5cd30a7c5461766e937716875a6e41c88f9a9aa3371f494ab98a072
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