Instructions to use pvduy/rm_stablebeluga_13b_arena_synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pvduy/rm_stablebeluga_13b_arena_synth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="pvduy/rm_stablebeluga_13b_arena_synth")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("pvduy/rm_stablebeluga_13b_arena_synth") model = AutoModelForSequenceClassification.from_pretrained("pvduy/rm_stablebeluga_13b_arena_synth") - Notebooks
- Google Colab
- Kaggle
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
How to use
from transformers import AutoModelForSequenceClassification, AutoTokenizer
ckpt = "pvduy/rm_stablebeluga_13b_arena_synth"
model = AutoModelForSequenceClassification.from_pretrained(ckpt)
tokenizer = AutoTokenizer.from_pretrained(ckpt)
rm_score = model(**tokenizer("USER: Hello! ASSISTANT: This sentence is a lie.</s>", return_tensors="pt"))[0].item()
- Downloads last month
- -