Text Classification
Transformers
Safetensors
English
Chinese
llama
text-generation
llama3
chinese
function-calling
text-embeddings-inference
Instructions to use ivilson/llama3-8b-chinese-function-calling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ivilson/llama3-8b-chinese-function-calling with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ivilson/llama3-8b-chinese-function-calling")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("ivilson/llama3-8b-chinese-function-calling") model = AutoModelForCausalLM.from_pretrained("ivilson/llama3-8b-chinese-function-calling", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model-00007-of-00017.safetensors from ivilson/llama3-8b-chinese-function-calling: direct link, hf CLI and curl.
- Browser
- Download file 990 MB
-
https://huggingface.co/ivilson/llama3-8b-chinese-function-calling/resolve/main/model-00007-of-00017.safetensors
- Command line
-
hf download hf://ivilson/llama3-8b-chinese-function-calling/model-00007-of-00017.safetensors
-
curl -L -o model-00007-of-00017.safetensors https://huggingface.co/ivilson/llama3-8b-chinese-function-calling/resolve/main/model-00007-of-00017.safetensors
990 MB
- Xet hash:
- caced3415338a665cc9e6a6cdc258305301d072aeed8d51b8fd470b3ed290380
- Size of remote file:
- 990 MB
- SHA256:
- 3f0bded845c1b91d3c8c1a02e0bc4d08a8855e4e9d8f161e44f73b0fa9ec7c6a
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