Update README.md

README.md

@@ -43,30 +43,15 @@ For more details about the training protocol of this model, please refer to the
 
 # Usage
 
-Currently to use this model you can either rely on Hugging Face transformers library or [BitNet](https://github.com/microsoft/BitNet) library. You can also play with the model using the [falcon-1.58bit playground](https://huggingface.co/spaces/tiiuae/falcon3-1.58bit-playground) (only for the 7B instruct version).
+Currently to use this model you can rely on [BitNet](https://github.com/microsoft/BitNet) library. You can also play with the model using the [falcon-1.58bit playground](https://huggingface.co/spaces/tiiuae/falcon3-1.58bit-playground) (only for the 7B instruct version).
 
-## 🤗 transformers
-
-```python
-import torch
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model_id = "tiiuae/Falcon3-7B-Instruct-1.58bit"
-
-model = AutoModelForCausalLM.from_pretrained(
-  model_id,
-  torch_dtype=torch.bfloat16,
-).to("cuda")
-
-# Perform text generation
-```
 
 ## BitNet
 
 ```
 git clone https://github.com/microsoft/BitNet && cd BitNet
 pip install -r requirements.txt
-python setup_env.py --hf-repo tiiuae/Falcon3-10B-Instruct-1.58bit -q i2_s
+huggingface-cli download tiiuae/Falcon3-10B-Instruct-1.58bit-GGUF ggml-model-i2_s.gguf --local-dir models/Falcon3-10B-1.58bit/
 python run_inference.py -m models/Falcon3-10B-1.58bit/ggml-model-i2_s.gguf -p "You are a helpful assistant" -cnv
 ```