Instructions to use MatanAvitan/gtr__nq__64__correct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MatanAvitan/gtr__nq__64__correct with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MatanAvitan/gtr__nq__64__correct", dtype="auto", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f07f24cd01879f3b4618787b3f6e7af9390599731b21d9f12b4d18bbbb9ec64a
- Size of remote file:
- 1.42 GB
- SHA256:
- 1b08cf42d04464e17369bec1b4e920f651d9d90a469251fa302bb45187966da8
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.