Update README.md
Browse files
README.md
CHANGED
|
@@ -1,6 +1,7 @@
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
|
|
|
| 4 |
- en
|
| 5 |
metrics:
|
| 6 |
- bleu
|
|
@@ -16,9 +17,12 @@ base_model:
|
|
| 16 |
A customer support chatbot built on Google's T5 architecture and fine-tuned using the bitext/Bitext-customer-support-llm-chatbot-training-dataset. Designed to understand natural language and provide accurate, efficient responses for a wide range of customer service scenarios. Ideal for automating support, answering queries, and enhancing user experience in customer-facing applications.
|
| 17 |
|
| 18 |
## How to Get Started with the Model
|
| 19 |
-
|
| 20 |
```python
|
| 21 |
-
from transformers import
|
|
|
|
|
|
|
|
|
|
|
|
|
| 22 |
```
|
| 23 |
## Example code here
|
| 24 |
https://www.kaggle.com/code/thuntrngbnh/test-model-vit-gpt2-icf/notebook
|
|
|
|
| 1 |
---
|
| 2 |
license: apache-2.0
|
| 3 |
language:
|
| 4 |
+
|
| 5 |
- en
|
| 6 |
metrics:
|
| 7 |
- bleu
|
|
|
|
| 17 |
A customer support chatbot built on Google's T5 architecture and fine-tuned using the bitext/Bitext-customer-support-llm-chatbot-training-dataset. Designed to understand natural language and provide accurate, efficient responses for a wide range of customer service scenarios. Ideal for automating support, answering queries, and enhancing user experience in customer-facing applications.
|
| 18 |
|
| 19 |
## How to Get Started with the Model
|
|
|
|
| 20 |
```python
|
| 21 |
+
from transformers import T5Tokenizer, T5ForConditionalGeneration
|
| 22 |
+
|
| 23 |
+
model_name = "sunbv56/T5_Chatbot_CustomerSupport"
|
| 24 |
+
tokenizer = T5Tokenizer.from_pretrained(model_name, legacy=False)
|
| 25 |
+
model = T5ForConditionalGeneration.from_pretrained(model_name)
|
| 26 |
```
|
| 27 |
## Example code here
|
| 28 |
https://www.kaggle.com/code/thuntrngbnh/test-model-vit-gpt2-icf/notebook
|