Instructions to use joseangelatm/PanamianModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use joseangelatm/PanamianModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="joseangelatm/PanamianModel")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("joseangelatm/PanamianModel") model = AutoModelForMaskedLM.from_pretrained("joseangelatm/PanamianModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 92c0e14af498e68d75bbd4965a51c88201c1fa49ce79f2eaf8cbafdd7a721a05
- Size of remote file:
- 499 MB
- SHA256:
- cdd2dfe102f4f5a82f35545b75469bdaeb86cde7f33d29e6d7f98d8eb97e562b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.