Instructions to use RajithaKandya/hf_T5model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use RajithaKandya/hf_T5model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("RajithaKandya/hf_T5model") model = AutoModelForSeq2SeqLM.from_pretrained("RajithaKandya/hf_T5model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e335f03c1658eb87bf11090c4b705a909d39a04451dd3cf88dd18ba02643ef0f
- Size of remote file:
- 1.63 GB
- SHA256:
- f9f6083b3797716acf46bd66a37674006c856ee6c344e74f10129718412de8d7
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