Question Answering
Transformers
PyTorch
Chinese
English
llama
text-generation
text-generation-inference
Instructions to use FlagAlpha/Llama2-Chinese-13b-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FlagAlpha/Llama2-Chinese-13b-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("question-answering", model="FlagAlpha/Llama2-Chinese-13b-Chat")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat") model = AutoModelForMultimodalLM.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9480b4de825fd12604ca1cda48af245f6110993b18af5a70cd276f124860b97b
- Size of remote file:
- 6.18 GB
- SHA256:
- bedf8204130f3cff437135a841800b75261f3fc1b390ed021bfc5f02378f6eb6
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