Instructions to use bulkbeings/emma_assistant_adapters_legacy_v0.1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use bulkbeings/emma_assistant_adapters_legacy_v0.1 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.2") model = PeftModel.from_pretrained(base_model, "bulkbeings/emma_assistant_adapters_legacy_v0.1") - Notebooks
- Google Colab
- Kaggle
Download eval_results.json from bulkbeings/emma_assistant_adapters_legacy_v0.1: direct link, hf CLI and curl.
- Browser
- Download file 162 Bytes
-
https://huggingface.co/bulkbeings/emma_assistant_adapters_legacy_v0.1/resolve/main/eval_results.json
- Command line
-
hf download hf://bulkbeings/emma_assistant_adapters_legacy_v0.1/eval_results.json
-
curl -L -o eval_results.json https://huggingface.co/bulkbeings/emma_assistant_adapters_legacy_v0.1/resolve/main/eval_results.json
162 Bytes
| { | |
| "epoch": 4.97, | |
| "eval_loss": 1.1405508518218994, | |
| "eval_runtime": 10.7289, | |
| "eval_samples_per_second": 13.049, | |
| "eval_steps_per_second": 6.524 | |
| } |