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
File size: 620 Bytes
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license: apache-2.0
language:
- en
- zh
pipeline_tag: text-classification
tags:
- llama3
- chinese
- function-calling
---
## Model Details
Model Name: iwaitu/llama3-8b-chinese-function-calling
Architecture: Llama3-8B (Chinese)
Author: [Your Name/Organization]
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. |