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, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat") model = AutoModelForCausalLM.from_pretrained("FlagAlpha/Llama2-Chinese-13b-Chat", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload pytorch_model-00002-of-00003.bin with huggingface_hub
Browse files
pytorch_model-00002-of-00003.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:86ed45c10462bbe2c3dd7894bc1bc54bd3cbb54c920c6ef1dffeaa74f06db2f9
|
| 3 |
+
size 9904165024
|