Instructions to use pfactorial/checkpoint-50-epoch-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pfactorial/checkpoint-50-epoch-2 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("pfactorial/checkpoint-50-epoch-2") model = AutoModelForSeq2SeqLM.from_pretrained("pfactorial/checkpoint-50-epoch-2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 12ba1b89ae5486fd6a8af90f9770daf1a11d5c660f31f5c5660074e10c430009
- Size of remote file:
- 2.14 MB
- SHA256:
- f5803ea788e8ef0224acc3e4247f2b96083ed4267957d3e9e07549230426e1e6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.