Instructions to use CoderCoy/new1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use CoderCoy/new1 with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("CoderCoy/new1") model = AutoModelForSeq2SeqLM.from_pretrained("CoderCoy/new1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- feb8f5fe8dbb054a43c267d3e24ab06151fcdb5a09a39c06f4504ce99ac00a35
- Size of remote file:
- 557 MB
- SHA256:
- e80587e4fc8a7e614e446b7b8429f5c4df8bb3006966bda680e7070acf642013
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.