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")# 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 tokenizer.json from ivilson/llama3-8b-chinese-function-calling: direct link, hf CLI and curl.
- Browser
- Download file 9.08 MB
-
https://huggingface.co/ivilson/llama3-8b-chinese-function-calling/resolve/main/tokenizer.json
- Command line
-
hf download hf://ivilson/llama3-8b-chinese-function-calling/tokenizer.json
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curl -L -o tokenizer.json https://huggingface.co/ivilson/llama3-8b-chinese-function-calling/resolve/main/tokenizer.json
9.08 MB
File too large to display, you can check the raw version instead.