Create README.md

README.md

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+SmolVLA: A vision-language-action model for affordable and efficient robotics
+
+[Paper]()
+
+Designed by Hugging Face.
+
+This model has 450M parameters in total.
+You can use inside the [LeRobot library](https://github.com/huggingface/lerobot).
+
+Install smolvla extra dependencies:
+```bash
+pip install -e ".[smolvla]"
+```
+
+Example of finetuning the smolvla pretrained model (`smolvla_base`):
+```bash
+python lerobot/scripts/train.py \
+--policy.path=lerobot/smolvla_base \
+--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
+--batch_size=64 \
+--steps=200000
+```
+
+Example of finetuning the smolvla neural network with pretrained VLM and action expert
+intialized from scratch:
+```bash
+python lerobot/scripts/train.py \
+--policy.type=smolvla \
+--dataset.repo_id=danaaubakirova/svla_so100_task1_v3 \
+--batch_size=64 \
+--steps=200000
+```
+
+Example of using the smolvla pretrained model outside LeRobot training framework:
+```python
+policy = SmolVLAPolicy.from_pretrained("lerobot/smolvla_base")
+```