Instructions to use OtterDev/otterchat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OtterDev/otterchat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="OtterDev/otterchat")# Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("OtterDev/otterchat") model = AutoModelForQuestionAnswering.from_pretrained("OtterDev/otterchat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 354f57a07ec595e46f8048005b6482c82c8a7559d66809c4f3fea1024074470c
- Size of remote file:
- 712 kB
- SHA256:
- 88288f3bbc81d03d5cc31434d30f8bd3c80771c9875a75fa763d167a8e34889e
路
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