Instructions to use Fabchi/Wayne_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fabchi/Wayne_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Fabchi/Wayne_MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("Fabchi/Wayne_MLM") model = AutoModelForMaskedLM.from_pretrained("Fabchi/Wayne_MLM") - Notebooks
- Google Colab
- Kaggle
Upload MLM_WAYNE_HUGG.ipynb
Browse files- MLM_WAYNE_HUGG.ipynb +0 -0
MLM_WAYNE_HUGG.ipynb
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|