Instructions to use reciprocate/openllama-13b_rm_oasst-hh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reciprocate/openllama-13b_rm_oasst-hh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reciprocate/openllama-13b_rm_oasst-hh")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reciprocate/openllama-13b_rm_oasst-hh") model = AutoModelForSequenceClassification.from_pretrained("reciprocate/openllama-13b_rm_oasst-hh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
is it reward model? how can we use it?
#1
by Asaf-Yehudai - opened
Thanks!
Hey! It is a reward model and I've added a model card with the instructions on how to use it :)