Instructions to use thehonestbob/mrasp2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use thehonestbob/mrasp2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="thehonestbob/mrasp2", trust_remote_code=True)# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("thehonestbob/mrasp2", trust_remote_code=True) model = AutoModel.from_pretrained("thehonestbob/mrasp2", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
How to specify the source and target language for translation?
#2 opened about 2 years ago
by
xtqxk
Adding `safetensors` variant of this model
#1 opened almost 3 years ago
by
SFconvertbot