Instructions to use IDEA-CCNL/Randeng-MegatronT5-770M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use IDEA-CCNL/Randeng-MegatronT5-770M with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("IDEA-CCNL/Randeng-MegatronT5-770M") model = AutoModelForSeq2SeqLM.from_pretrained("IDEA-CCNL/Randeng-MegatronT5-770M", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cafa1c64e4bbf0db3c3ea8f9ca3e5a7859488fda292299a951e665b7adacb944
- Size of remote file:
- 1.46 GB
- SHA256:
- 126c425674ed3478a9cb105b2064f7a819f1366c287b72d054f1ff62c888246b
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