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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b70d9fa49b555af16690f8ff0bd644e21b5359eeb489feced5518ff4afb0d1b
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size 1336428352
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