Instructions to use scholarly360/Indian-Annual-Report-LM-Bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use scholarly360/Indian-Annual-Report-LM-Bert with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="scholarly360/Indian-Annual-Report-LM-Bert")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("scholarly360/Indian-Annual-Report-LM-Bert") model = AutoModelForMaskedLM.from_pretrained("scholarly360/Indian-Annual-Report-LM-Bert") - Notebooks
- Google Colab
- Kaggle
From : Indian Annual Report Assessment Using Large Language Models
This is Bert based Language Model Trained on Annual Reports
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