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")
# 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")
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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.

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Model size
8B params
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