Text Classification
Transformers
Safetensors
English
llama
feature-extraction
llama3
reward-model
preference-modeling
rlhf
multi-domain
coherence
commonsense
empathy
multicultural
shared-prompt-gating
custom_code
text-embeddings-inference
Instructions to use mario-rc/multi-domain-rm-skywork-llama-3.1-8b-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-skywork-llama-3.1-8b-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-skywork-llama-3.1-8b-it", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("mario-rc/multi-domain-rm-skywork-llama-3.1-8b-it", trust_remote_code=True) model = AutoModel.from_pretrained("mario-rc/multi-domain-rm-skywork-llama-3.1-8b-it", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K