Instructions to use OtterDev/otterchat2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OtterDev/otterchat2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="OtterDev/otterchat2")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("OtterDev/otterchat2") model = AutoModelForQuestionAnswering.from_pretrained("OtterDev/otterchat2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 859d1667f35cbe765bc5d6b36d1a28e959c656e5af44d34e1b10a6e0c86c3b94
- Size of remote file:
- 496 MB
- SHA256:
- a6b1ba42d8643b3f102795d9caaa98e0c1e6e07206297c57b4a85092b5a8cfe7
路
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