Instructions to use DicoTiar/wisdomfiy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DicoTiar/wisdomfiy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="DicoTiar/wisdomfiy")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("DicoTiar/wisdomfiy") model = AutoModelForMaskedLM.from_pretrained("DicoTiar/wisdomfiy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aea6ec9bef1ecdc50d545d2ba806d9d067f9ef6ecface5b50523bc1e68ba1dac
- Size of remote file:
- 436 MB
- SHA256:
- ce9dfa29131817cf68129044aca3ea211e53ebaa385b77ccf0635f2258bf1f2d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.