Instructions to use Deojoandco/anthropic_hh_reward_function with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Deojoandco/anthropic_hh_reward_function with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("Deojoandco/anthropic_hh_reward_function") model = AutoModelForSeq2SeqLM.from_pretrained("Deojoandco/anthropic_hh_reward_function", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c18a2e0d414cdd22dd63d6651301f85be2e08566c900378d713a95d3ed596be7
- Size of remote file:
- 995 MB
- SHA256:
- daca5dc45f5d2363f789487afbe81f5e6e7702ced8152c888fc62ebc85511c02
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.