Text Classification
Transformers
Safetensors
English
mistral
reward-model
preference-modeling
rlhf
multi-domain
coherence
commonsense
empathy
multicultural
text-embeddings-inference
Instructions to use mario-rc/multi-domain-rm-mistral-7b-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mario-rc/multi-domain-rm-mistral-7b-it with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="mario-rc/multi-domain-rm-mistral-7b-it")# Load model directly from transformers import AutoTokenizer, RewardModelWithGating tokenizer = AutoTokenizer.from_pretrained("mario-rc/multi-domain-rm-mistral-7b-it") model = RewardModelWithGating.from_pretrained("mario-rc/multi-domain-rm-mistral-7b-it") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!