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-generation", model="apipack/API-Pack-Model")
# Load model directly
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("apipack/API-Pack-Model")
model = AutoModelForCausalLM.from_pretrained("apipack/API-Pack-Model")
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This is the repository with model for the paper API Pack A Massive Multi-Programming Language Dataset for API Call Generation.

The model is fine-tuned with 1M instances from API-Pack dataset, and is based on CodeLlama-13b-hf, a custom commercial license for which is available.

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Safetensors
Model size
13B params
Tensor type
BF16
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Dataset used to train apipack/API-Pack-Model