Update README.md

README.md

@@ -3,7 +3,7 @@ license: mit
 library_name: transformers
 ---
 
-#gtp4all-lora
+# Gtp4all-lora
 Model Description
 The gtp4all-lora model is a custom transformer model designed for text generation tasks. 
 
@@ -12,7 +12,7 @@ It is taken from nomic-ai's GPT4All code, which I have transformed to the curren
 This model is trained on a diverse dataset and fine-tuned to generate coherent and contextually relevant text. 
 The model is inspired by GPT-4 and tailored to include the LoRa (Long Range) aspect, which can be useful for generating content related to long-range communication technology.
 
-##Training Data
+## Training Data
 The model is trained on a custom dataset that includes a variety of sources such as:
 
 Books, articles, and blogs related to LoRa technology
@@ -21,10 +21,10 @@ Webpages and forum threads about IoT, LPWAN, and other related topics
 The dataset has been preprocessed and cleaned to remove any irrelevant or inappropriate content. The training data is balanced to ensure a comprehensive understanding of the topics related to LoRa and IoT.
 
 
-##Usage
+## Usage
 You can use this model with the Hugging Face Transformers library. Here's an example of how to generate text using the gtp4all-lora model:
 
-python
+```python
 from transformers import pipeline
 
 model_name = "matthieunlp/gtp4all-lora"
@@ -35,8 +35,9 @@ prompt = "LoRa is a technology that can be used for"
 generated_text = generator(prompt, max_length=100, num_return_sequences=1)
 
 print(generated_text[0]['generated_text'])
+```
 
-##Limitations
+## Limitations
 This model has some limitations:
 
 The model may not perform equally well on all sub-domains of IoT and long-range communication technology.