Updating readme

README.md

@@ -18,21 +18,6 @@ QuantLM 4-bit: FloatLM LLMs Quantized to 4-bits.
 QuantLM 3-bit: FloatLM LLMs Quantized to 3-bits.
 All models are released in unpacked (FP16 format) - compatible with FP16 GEMMs across any library supporting the LLaMa architecture.
 
-## Usage:
-
-```python
-import transformers as tf, torch
-
-# Please select the model you wish to run.
-model_name = "SpectraSuite/TriLM_3.9B_Unpacked"
-
-# Please adjust the temperature, repetition penalty, top_k, top_p and other sampling parameters according to your needs.
-pipeline = tf.pipeline("text-generation", model=model_id, model_kwargs={"torch_dtype": torch.float16}, device_map="auto")
-
-# These are base (pretrained) LLMs that are not instruction and chat tuned. You may need to adjust your prompt accordingly.
-pipeline("Once upon a time")
-```
-
 ## Citation
 If you find these models or the associated paper useful, please cite the paper: