Instructions to use OhCherryFire/llama2-7b-gsm8k-value with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OhCherryFire/llama2-7b-gsm8k-value with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OhCherryFire/llama2-7b-gsm8k-value")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("OhCherryFire/llama2-7b-gsm8k-value") model = AutoModel.from_pretrained("OhCherryFire/llama2-7b-gsm8k-value", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1 opened almost 2 years ago
by
SFconvertbot