Instructions to use ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU") model = AutoModelForSequenceClassification.from_pretrained("ewqr2130/mistral-7b-sft-beta__100000_1e-05_RewardModel_2GPU", device_map="auto") - Notebooks
- Google Colab
- Kaggle