Text Generation
PEFT
Safetensors
French
lora
french
african-french
nouchi
camfranglais
chat
conversational
mistral
Instructions to use Christ972/AfriChat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Christ972/AfriChat with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-Nemo-Instruct-2407") model = PeftModel.from_pretrained(base_model, "Christ972/AfriChat") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from Christ972/AfriChat: direct link, hf CLI and curl.
- Browser
- Download file 17.1 MB
-
https://huggingface.co/Christ972/AfriChat/resolve/main/tokenizer.json
- Command line
-
hf download hf://Christ972/AfriChat/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/Christ972/AfriChat/resolve/main/tokenizer.json
17.1 MB
- Xet hash:
- a4bdd5bb4a51c7f2d23ae0519a3a8e790fc97c156b5a7294093e774baf64aff8
- Size of remote file:
- 17.1 MB
- SHA256:
- 1e2861fda81ad0fc6a51bfe1e3bfc8b30f31eef1c7f2ef29aa73b8ad1282f2ab
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