Instructions to use santyzenith/train_t5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use santyzenith/train_t5 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("santyzenith/train_t5") model = AutoModelForSeq2SeqLM.from_pretrained("santyzenith/train_t5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 864b04fbed71bd3f543fffcc72567e73b1161ddcc484f5e395bac1a5ca033724
- Size of remote file:
- 242 MB
- SHA256:
- 63c2c8cc084d3bd8f3153764b2134fa20671af94ce7f3f6feb96dc719fde0204
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.