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:
- a5e5a997d5755343e124057f20f27deff74c805a0ae51230c8d921da999a32d9
- Size of remote file:
- 892 MB
- SHA256:
- 7457757278bb34fce339483c976c10ab8722111ccad0a03a5e198ec844e5972c
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