Instructions to use eli4s/chaii with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use eli4s/chaii with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="eli4s/chaii")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("eli4s/chaii") model = AutoModelForMaskedLM.from_pretrained("eli4s/chaii") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7d8e818b289666abeb96f07f03d66da4468dae95b942fff565487a07d93dd4e8
- Size of remote file:
- 434 MB
- SHA256:
- 7e189d387c4057c31447bb86787401f430b6ad3352dc5092e2d29a82be16c672
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.