Instructions to use Edaiplay/edaiplay-t5model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edaiplay/edaiplay-t5model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Edaiplay/edaiplay-t5model") model = AutoModelForSeq2SeqLM.from_pretrained("Edaiplay/edaiplay-t5model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c779f6cd62b8fee42a9c4816af9c8fdb5378b31a922a39dc4537d43f2c8201a
- Size of remote file:
- 892 MB
- SHA256:
- 142a42f73eeba26ed312420e159c063f6705cf04c58bf051854b0c34b2adfb3f
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