Question Answering
Adapters
English
falcon
QLoRA
Adapters
llms
Transformers
Fine-Tuning
PEFT
SFTTrainer
Open-Source
LoRA
Attention
code
Falcon-7b
custom_code
Instructions to use avnishkr/falcon-QAMaster with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Adapters
How to use avnishkr/falcon-QAMaster with Adapters:
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("<base-model-id>") model.load_adapter("avnishkr/falcon-QAMaster", set_active=True) - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from avnishkr/falcon-QAMaster: direct link, hf CLI and curl.
- Browser
- Download file 2.73 MB
-
https://huggingface.co/avnishkr/falcon-QAMaster/resolve/refs%2Fpr%2F2/tokenizer.json
- Command line
-
hf download hf://avnishkr/falcon-QAMaster@refs/pr/2/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/avnishkr/falcon-QAMaster/resolve/refs%2Fpr%2F2/tokenizer.json
2.73 MB
File too large to display, you can check the raw version instead.