Fix readme about conversion to transformers (#25)

* add links for 8k

* fix acknowledgement

* modified readme for convert_hf

tools/README.md

@@ -3,8 +3,8 @@
 ├── transformers  # 适配hugging face的transformers的一些工具
 │   ├── configuration_internlm.py  # config适配工具
 │   ├── modeling_internlm.py  # model适配工具
-│   └── tokenization_internlm.py  # tokenizer适配工具
+│   ├── tokenization_internlm.py  # tokenizer适配工具
-├── convert2hf.py  # 模型适配hugging face工具
+│   └── convert2hf.py  # 模型适配hugging face工具
 └── tokenizer.py  # 将原始数据转换成bin和meta文件的工具
 ```
 

tools/README_EN.md

@@ -4,7 +4,7 @@ This directory provide some tools for model training with the following file str
 │   ├── configuration_internlm.py  # tools for adapting config
 │   ├── modeling_internlm.py  # tools for adapting model
 │   └── tokenization_internlm.py  # tools for adapting tokenizer
-├── convert2hf.py  # tools for adapting models to Hugging Face's format
+│   └── convert2hf.py  # tools for adapting models to Hugging Face's format
 └── tokenizer.py  # tools for generating `bin` and `meta` file for raw data
 ```
 

tools/transformers/README-zh-Hans.md

@@ -0,0 +1,26 @@
+# InternLM Transformers
+
+[English](./README.md) |
+[简体中文](./README-zh-Hans.md) 
+
+该文件夹下包含了 transformers 格式的 `InternLM` 模型。
+
+
+## 权重转换
+
+`convert2hf.py` 可以将训练保存的权重一键转换为 transformers 格式。
+
+```bash
+python convert2hf.py --src_folder origin_ckpt/ --tgt_folder hf_ckpt/ --tokenizer ../v7_sft.model
+```
+
+然后可以使用 `from_pretrained` 接口加载：
+
+```python
+from modeling_internlm import InternLMForCausalLM
+
+model = InternForCausalLM.from_pretrained("hf_ckpt/")
+```
+
+
+`intern_moss_example.py` 展示了如何使用 LoRA 来在 `fnlp/moss-moon-002-sft` 数据集上进行微调的样例。

tools/transformers/README.md

@@ -1,16 +1,19 @@
 # InternLM Transformers
 
-该文件夹下包含了 transformers 格式的 `InternLM` 模型。
+[English](./README.md) |
+[简体中文](./README-zh-Hans.md) 
 
-## 权重转换
+This folder contains the `InternLM` model in transformers format.
 
-`../tools/convert2hf.py` 可以将训练保存的权重一键转换为 transformers 格式。
+## Weight Conversion
+
+`convert2hf.py` can convert saved training weights into the transformers format with a single command.
 
 ```bash
-python convert2hf.py --src_folder origin_ckpt/ --tgt_folder hf_ckpt/ --tokenizer tokenizes/tokenizer.model
+python convert2hf.py --src_folder origin_ckpt/ --tgt_folder hf_ckpt/ --tokenizer ../v7_sft.model
 ```
 
-然后可以使用 `from_pretrained` 接口加载：
+Then, you can load it using the `from_pretrained` interface:
 
 ```python
 from modeling_internlm import InternLMForCausalLM
@@ -18,5 +21,4 @@ from modeling_internlm import InternLMForCausalLM
 model = InternForCausalLM.from_pretrained("hf_ckpt/")
 ```
 
-
+`intern_moss_example.py` demonstrates an example of how to use LoRA for fine-tuning on the `fnlp/moss-moon-002-sft` dataset.
-`moss_example.py` 展示了如何使用 LoRA 来在 `fnlp/moss-moon-002-sft` 数据集上进行微调的样例。