Instructions to use mgh6/TCS_MLM_All with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mgh6/TCS_MLM_All with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="mgh6/TCS_MLM_All")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("mgh6/TCS_MLM_All") model = AutoModelForMaskedLM.from_pretrained("mgh6/TCS_MLM_All") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 700
Browse files
model.safetensors
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runs/Oct17_15-55-01_torch-flash-large-0-3/events.out.tfevents.1729180502.torch-flash-large-0-3.10976.0
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