Update README.md

README.md

@@ -8,8 +8,7 @@
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-This modelcard aims to detect text that was generated by LLMs._hub/templates/modelcard_template.md?plain=1).
-
+This modelcard aims to detect text that was generated by LLMs.
 ## Model Details
 
 ### Model Description
@@ -18,13 +17,11 @@ This modelcard aims to detect text that was generated by LLMs._hub/templates/mod
 
 
 
-- **Developed by:** [More Information Needed]
-- **Funded by [optional]:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
+- **Developed by:** huolongguo10
+- **Model type:** bert
+- **Language(s) (NLP):** Chinese
 - **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Finetuned from model [optional]:** bert-base-chinese
 
 ### Model Sources [optional]
 
@@ -42,37 +39,14 @@ This modelcard aims to detect text that was generated by LLMs._hub/templates/mod
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
 
-[More Information Needed]
-
-### Downstream Use [optional]
-
-<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
-
-[More Information Needed]
-
-### Out-of-Scope Use
-
-<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
-
-[More Information Needed]
-
-## Bias, Risks, and Limitations
-
-<!-- This section is meant to convey both technical and sociotechnical limitations. -->
-
-[More Information Needed]
+```python
+from transformers import AutoTokenizer, AutoModelForMaskedLM
 
-### Recommendations
+tokenizer = AutoTokenizer.from_pretrained("huolongguo10/LLM_detect")
 
-<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+model = AutoModelForMaskedLM.from_pretrained("huolongguo10/LLM_detect")
+```
 
-Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
 
 ## Training Details
 
@@ -80,7 +54,7 @@ Use the code below to get started with the model.
 
 <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
 
-[More Information Needed]
+
 
 ### Training Procedure
 
@@ -93,13 +67,8 @@ Use the code below to get started with the model.
 
 #### Training Hyperparameters
 
-- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
-
-#### Speeds, Sizes, Times [optional]
+- **Training regime:** fp32 <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
 
-<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
-
-[More Information Needed]
 
 ## Evaluation
 
@@ -145,17 +114,16 @@ Use the code below to get started with the model.
 
 Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
 
-- **Hardware Type:** [More Information Needed]
-- **Hours used:** [More Information Needed]
-- **Cloud Provider:** [More Information Needed]
-- **Compute Region:** [More Information Needed]
-- **Carbon Emitted:** [More Information Needed]
+- **Hardware Type:** P100
+- **Hours used:** 4h
+- **Cloud Provider:** kaggle
+
 
 ## Technical Specifications [optional]
 
 ### Model Architecture and Objective
 
-[More Information Needed]
+bert
 
 ### Compute Infrastructure
 
@@ -163,11 +131,11 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 
 #### Hardware
 
-[More Information Needed]
+P100
 
 #### Software
 
-[More Information Needed]
+transformers
 
 ## Citation [optional]