Instructions to use nytopop/1b_or_base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nytopop/1b_or_base with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="nytopop/1b_or_base")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("nytopop/1b_or_base") model = AutoModelForCausalLM.from_pretrained("nytopop/1b_or_base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27cfd083e6e1c39c081ad2d1f8f01a233cf3532e0f6cddbcc47fd4e156ddedfe
- Size of remote file:
- 22.8 MB
- SHA256:
- 820fd03451ff8366cf7ac622d4e280d34893f2daed0fe4525d68a878e5a57bf8
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