Text Classification
Transformers
Safetensors
English
llama
text-generation
Tulu3
Smollm
SLMs
Small
Huggingface
Allenai
Reward Model
RLVR
RM
Reward
text-embeddings-inference
Instructions to use SultanR/SmolTulu-1.7b-RM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SultanR/SmolTulu-1.7b-RM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="SultanR/SmolTulu-1.7b-RM")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("SultanR/SmolTulu-1.7b-RM") model = AutoModelForCausalLM.from_pretrained("SultanR/SmolTulu-1.7b-RM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K