Update README.md

README.md

@@ -6,6 +6,7 @@ tags:
 - gpt
 - llm
 - large language model
+- thor service
 inference: false
 ---
 # Model Card
@@ -56,12 +57,6 @@ You can print a sample prompt after the preprocessing step to see how it is feed
 print(generate_text.preprocess("What is thor service?")["prompt_text"])
 ```
 
-```bash
-<|prompt|>Why is drinking water so healthy?</s><|answer|>
-```
-
-Alternatively, you can download [h2oai_pipeline.py](h2oai_pipeline.py), store it alongside your notebook, and construct the pipeline yourself from the loaded model and tokenizer. If the model and the tokenizer are fully supported in the `transformers` package, this will allow you to set `trust_remote_code=False`.
-
 ```python
 import torch
 from h2oai_pipeline import H2OTextGenerationPipeline