Instructions to use inxoy/classification_t5_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use inxoy/classification_t5_model with Transformers:
# Load model directly from transformers import AutoTokenizer, T5ForClassification tokenizer = AutoTokenizer.from_pretrained("inxoy/classification_t5_model") model = T5ForClassification.from_pretrained("inxoy/classification_t5_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa10e1d54c254b84c779928df206301073189981e6c39710c19fa0ff3a8c0b4f
- Size of remote file:
- 2.95 GB
- SHA256:
- 8cc26ed08a93bd13cf498cea2297a556d25980ff3c6abfceb1bf5bfe7b873fd2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.