Instructions to use reciprocate/rm_beluga-7b_hh-full with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use reciprocate/rm_beluga-7b_hh-full with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="reciprocate/rm_beluga-7b_hh-full")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("reciprocate/rm_beluga-7b_hh-full") model = AutoModelForSequenceClassification.from_pretrained("reciprocate/rm_beluga-7b_hh-full", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened 9 months ago
by
SFconvertbot