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Merge pull request #10 from RangeKing/fix-typos 

Doc(README.md): Fix typos
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Xingcheng Zhang 2023-07-06 21:53:30 +08:00 committed by GitHub
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@ -59,7 +59,7 @@ We conducted a comprehensive evaluation of InternLM using the open-source evalua
| HumanEval | 14.0 | 10.4 | 14.0 | 9.2 | 9.2 | 9.2 | 11.0 |
| RACE(High) | 76.3 | 57.4 | 46.9* | 28.1 | 66.3 | 40.7 | 54.0 |
- The evaluation results were obtained from[OpenCompass 20230706](https://github.com/internLM/OpenCompass/) (some data marked with *, which menas come from the original papers), and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/internLM/OpenCompass/).
- The evaluation results were obtained from [OpenCompass 20230706](https://github.com/internLM/OpenCompass/) (some data marked with *, which means come from the original papers), and evaluation configuration can be found in the configuration files provided by [OpenCompass](https://github.com/internLM/OpenCompass/).
- The evaluation data may have numerical differences due to the version iteration of [OpenCompass](https://github.com/internLM/OpenCompass/), so please refer to the latest evaluation results of [OpenCompass](https://github.com/internLM/OpenCompass/).
### Model Zoo
@ -82,7 +82,7 @@ To load the InternLM 7B Chat model using Transformers, use the following code:
>>> model = model.eval()
>>> response, history = model.chat(tokenizer, "hello", history=[])
>>> print(response)
Hello! How can I help you today？
Hello! How can I help you today?
>>> response, history = model.chat(tokenizer, "please provide three suggestions about time management", history=history)
>>> print(response)
Sure, here are three tips for effective time management: