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:
- d18fb7c1ff229a60a1f5c70dbcbfaf267ee51427c85f8eced4f53855ae486add
- Size of remote file:
- 9.95 GB
- SHA256:
- 9c2659949ad20439ee74bfdbc1a26f2cfc1b1af12ddef32bdafab6a15efe54a5
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