How to use from the
Use from the
Transformers library
# 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")
Quick Links

Model Details

Model Name: ivilson/llama3-8b-chinese-function-calling

Architecture: Llama3-8B (Chinese)

Author: [ivilson.com]

Date Created: [2024-04-26]

License: [Specify the license under which the model is released]

Repository: [Link to the repository containing the finetuned model]

Model Description

This model is a finetuned version of the Llama3-8B model developed by Meta. It has been fine-tuned to better suit specific use cases, such as conversational AI applications.

Downloads last month
4
Safetensors
Model size
8B params
Tensor type
BF16
·
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support