Instructions to use BroAlanTaps/Stage1-PCC-Lite-64x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BroAlanTaps/Stage1-PCC-Lite-64x with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BroAlanTaps/Stage1-PCC-Lite-64x")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("BroAlanTaps/Stage1-PCC-Lite-64x") model = AutoModelForCausalLM.from_pretrained("BroAlanTaps/Stage1-PCC-Lite-64x") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 50256, | |
| "eos_token_id": 50256, | |
| "transformers_version": "4.41.2" | |
| } | |