| tags: | |
| - model_hub_mixin | |
| - pytorch_model_hub_mixin | |
| - ml-intern | |
| This model has been pushed to the Hub using the [PytorchModelHubMixin](https://huggingface.co/docs/huggingface_hub/package_reference/mixins#huggingface_hub.PyTorchModelHubMixin) integration: | |
| - Code: [More Information Needed] | |
| - Paper: [More Information Needed] | |
| - Docs: [More Information Needed] | |
| <!-- ml-intern-provenance --> | |
| ## Generated by ML Intern | |
| This model repository was generated by [ML Intern](https://github.com/huggingface/ml-intern), an agent for machine learning research and development on the Hugging Face Hub. | |
| - Try ML Intern: https://smolagents-ml-intern.hf.space | |
| - Source code: https://github.com/huggingface/ml-intern | |
| ## Usage | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| model_id = 'mohan170802/Kronos-NSE-bull' | |
| tokenizer = AutoTokenizer.from_pretrained(model_id) | |
| model = AutoModelForCausalLM.from_pretrained(model_id) | |
| ``` | |
| For non-causal architectures, replace `AutoModelForCausalLM` with the appropriate `AutoModel` class. | |