Instructions to use chomeed/robometer-4b-lora-anubis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chomeed/robometer-4b-lora-anubis with Transformers:
# Load model directly from transformers import AutoProcessor, RBM processor = AutoProcessor.from_pretrained("chomeed/robometer-4b-lora-anubis") model = RBM.from_pretrained("chomeed/robometer-4b-lora-anubis", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Invalid JSON:Unexpected token 'N', ..."_of_pot": NaN,
""... is not valid JSON
| { | |
| "step": 1000, | |
| "metrics": { | |
| "eval_rew_align/loss_chomeed_anubis_rbm_success_anubis_pick_carrot_out_of_pot": NaN, | |
| "eval_rew_align/pearson_chomeed_anubis_rbm_success_anubis_pick_carrot_out_of_pot": NaN, | |
| "time/custom_evaluations": 3.4688709849724546 | |
| } | |
| } |