Instructions to use MichiganNLP/TAMA-QWen3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MichiganNLP/TAMA-QWen3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="MichiganNLP/TAMA-QWen3")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MichiganNLP/TAMA-QWen3") model = AutoModelForCausalLM.from_pretrained("MichiganNLP/TAMA-QWen3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from MichiganNLP/TAMA-QWen3: direct link, hf CLI and curl.
- Browser
- Download file 213 Bytes
-
https://huggingface.co/MichiganNLP/TAMA-QWen3/resolve/main/generation_config.json
- Command line
-
hf download hf://MichiganNLP/TAMA-QWen3/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/MichiganNLP/TAMA-QWen3/resolve/main/generation_config.json
213 Bytes
| { | |
| "bos_token_id": 151643, | |
| "do_sample": true, | |
| "eos_token_id": [ | |
| 151645, | |
| 151643 | |
| ], | |
| "pad_token_id": 151643, | |
| "temperature": 0.7, | |
| "top_k": 50, | |
| "top_p": 0.9, | |
| "transformers_version": "4.52.4" | |
| } | |