Instructions to use Falah/Mask_awesome_eli5_mlm_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Falah/Mask_awesome_eli5_mlm_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Falah/Mask_awesome_eli5_mlm_model")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Falah/Mask_awesome_eli5_mlm_model") model = AutoModelForMaskedLM.from_pretrained("Falah/Mask_awesome_eli5_mlm_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ec358e01a7f2a3f0ad5cca7a744a26b601261a816d2114dd77c506c96222b426
- Size of remote file:
- 3.58 kB
- SHA256:
- d0ce1af74ab60b095ed3d523a9c1d421a196b6faafd0992c128af54a9a3f6659
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