Instructions to use mgh6/TCS_MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_MLM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/TCS_MLM")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_MLM") model = AutoModelForMaskedLM.from_pretrained("mgh6/TCS_MLM") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- Jan11_12-42-32_bc11u25n1
- Jan11_12-56-41_bc11u25n1
- Jan16_08-47-13_bc11u15n2
- Oct14_16-53-51_torch-flash-large-0-2
- Oct14_16-56-26_torch-flash-large-0-2
- Oct14_16-57-54_torch-flash-large-0-2
- Oct14_17-01-04_torch-flash-large-0-2
- Oct14_17-02-28_torch-flash-large-0-2
- Oct14_17-13-11_torch-flash-large-0-2
- Oct14_17-15-06_torch-flash-large-0-2
- Oct14_17-20-10_torch-flash-large-0-2