ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
Paper • 2306.05301 • Published • 2
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("TangQiaoYu/ToolAlpaca-7B")
model = AutoModelForCausalLM.from_pretrained("TangQiaoYu/ToolAlpaca-7B")Quick Links
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Introduction
ToolAlpaca is a large language model demonstrating generalized tool-use alibities, trained only on 3.9k simulated tool-use instances. See our paper for more details.
Links
- Paper: https://arxiv.org/abs/2306.05301
- Code & Data: https://github.com/tangqiaoyu/ToolAlpaca
- ToolAlpaca-13B: https://huggingface.co/TangQiaoYu/ToolAlpaca-13B
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="TangQiaoYu/ToolAlpaca-7B")