Instructions to use emendes3/llava_13b_exact_gps_coordinates_synthetic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use emendes3/llava_13b_exact_gps_coordinates_synthetic with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("liuhaotian/llava-v1.5-13b") model = PeftModel.from_pretrained(base_model, "emendes3/llava_13b_exact_gps_coordinates_synthetic") - Notebooks
- Google Colab
- Kaggle
epochs=15.0
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README.md
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library_name: peft
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tags:
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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model-index:
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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#
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0032
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- eval_runtime: 79.8396
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library_name: peft
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tags:
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- liuhaotian/llava-v1.5-13b_15.0
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- generated_from_trainer
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base_model: liuhaotian/llava-v1.5-13b
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model-index:
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- name: liuhaotian/llava-v1.5-13b_15.0
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results: []
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# liuhaotian/llava-v1.5-13b_15.0
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This model is a fine-tuned version of [liuhaotian/llava-v1.5-13b_15.0](https://huggingface.co/liuhaotian/llava-v1.5-13b_15.0) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.0032
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- eval_runtime: 79.8396
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