Text Generation
PEFT
Safetensors
Portuguese
function-calling
tool-use
portuguese
lora
conversational
Instructions to use BrCamp/bee-350m-pt-assistente with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use BrCamp/bee-350m-pt-assistente with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("BrCamp/bee-350m-pt-base") model = PeftModel.from_pretrained(base_model, "BrCamp/bee-350m-pt-assistente") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from BrCamp/bee-350m-pt-assistente: direct link, hf CLI and curl.
- Browser
- Download file 2.31 MB
-
https://huggingface.co/BrCamp/bee-350m-pt-assistente/resolve/main/tokenizer.json
- Command line
-
hf download hf://BrCamp/bee-350m-pt-assistente/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/BrCamp/bee-350m-pt-assistente/resolve/main/tokenizer.json
2.31 MB
File too large to display, you can check the raw version instead.