Instructions to use ashdev01/my_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ashdev01/my_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="ashdev01/my_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("ashdev01/my_model") model = AutoModelForMaskedLM.from_pretrained("ashdev01/my_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 45cf14b1d8cfd55191a9db3d067f8914974368babc267a28d608ed601907b763
- Size of remote file:
- 329 MB
- SHA256:
- 779bfa6d6ffb19e11fa3a21272642a7142aac444c77473e4338360251ac7ca0c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.