Update README.md

README.md

@@ -33,23 +33,6 @@ DCLM-Baseline-7B is a 7 billion parameter language model trained on the DCLM-Bas
 - **Dataset:** https://huggingface.co/datasets/mlfoundations/dclm-baseline-1.0
 - **Paper:** [DataComp-LM: In search of the next generation of training sets for language models](https://arxiv.org/abs/2406.11794)
 
-## Uses
-
-### Inference
-
-To use the model for inference:
-
-```python
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-model = AutoModelForCausalLM.from_pretrained("datacomp/dclm-baseline-7b")
-tokenizer = AutoTokenizer.from_pretrained("datacomp/dclm-baseline-7b")
-
-prompt = "Language modeling is"
-inputs = tokenizer(prompt, return_tensors="pt")
-outputs = model.generate(**inputs, max_new_tokens=50)
-print(tokenizer.decode(outputs[0]))
-```
 
 ### Training Details