Instructions to use Harshatheeswar/Ltg_bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Harshatheeswar/Ltg_bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="Harshatheeswar/Ltg_bert", trust_remote_code=True)# Load model directly from transformers import AutoModelForMaskedLM model = AutoModelForMaskedLM.from_pretrained("Harshatheeswar/Ltg_bert", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 13895
Browse files
pytorch_model.bin
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runs/Nov26_18-50-05_5256e233a9e1/events.out.tfevents.1732647006.5256e233a9e1.1192.1
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