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:
- e2c945ecca64e36efe977fc7b0dc473a427d9786cd308adea69cef064ac637d2
- Size of remote file:
- 5.84 kB
- SHA256:
- 2068c8a0214ac1b6bbd48f13a41740bd8240c58d3a8adf9cc941961013cd154f
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