Instructions to use Riyagarg01/Practice1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Riyagarg01/Practice1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Riyagarg01/Practice1") model = AutoModelForSeq2SeqLM.from_pretrained("Riyagarg01/Practice1") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- df2ab0af335cba620925f01ec385f18f99357e07c004bc34db6c56d9342e84b2
- Size of remote file:
- 367 Bytes
- SHA256:
- 7df4d29598704785c3b88424709232cf230dc77860344149055e3817fc0f94fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.