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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5dd4c5253f4e77c69860fbc22e7e88320e75e540d97c749ca404ccbfadc29fe0
- Size of remote file:
- 1.34 GB
- SHA256:
- ae91d685f42314e6a0bbb815aa5f8fb82c3284e2a640c67f4f04769be6412536
路
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