Instructions to use p-christ/text2text_12345 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use p-christ/text2text_12345 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("p-christ/text2text_12345") model = AutoModelForSeq2SeqLM.from_pretrained("p-christ/text2text_12345") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b1f10edca8daeaca9c4be74af74aca181e42f1301af29772572941fa02f4cfd1
- Size of remote file:
- 892 MB
- SHA256:
- de70d5e83e8450a582d2dd525af0dfdfee81d8c18429251537963c09a12f3952
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.