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
File size: 134 Bytes
09a5a67 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a6b1ba42d8643b3f102795d9caaa98e0c1e6e07206297c57b4a85092b5a8cfe7
size 496299053
|