Instructions to use diamond0/dummy-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use diamond0/dummy-model with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("diamond0/dummy-model") model = AutoModelForSequenceClassification.from_pretrained("diamond0/dummy-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- deca172c4d8003066ca23a10c26af6b712668fa62afb45150028354921868726
- Size of remote file:
- 438 MB
- SHA256:
- bf2e4928fc1cb9246b51f13afa8b5b622314ad03f3eaf19df573b9ad32868d04
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.