Instructions to use Nuo97/COMEDY_7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nuo97/COMEDY_7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="Nuo97/COMEDY_7B")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Nuo97/COMEDY_7B") model = AutoModelForCausalLM.from_pretrained("Nuo97/COMEDY_7B") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bfe63ec4a21d28385aa7e29a0da36712b042b5045ade1c45626311472afad0c
- Size of remote file:
- 13.5 GB
- SHA256:
- 7af4ba8980caa51bd8b232e06628178315da7cbf232c8222ec5a30f30051424d
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