Instructions to use MichiganNLP/TAMA-QWen2.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MichiganNLP/TAMA-QWen2.5 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("table-question-answering", model="MichiganNLP/TAMA-QWen2.5")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("MichiganNLP/TAMA-QWen2.5") model = AutoModelForCausalLM.from_pretrained("MichiganNLP/TAMA-QWen2.5", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download special_tokens_map.json from MichiganNLP/TAMA-QWen2.5: direct link, hf CLI and curl.
- Browser
- Download file 613 Bytes
-
https://huggingface.co/MichiganNLP/TAMA-QWen2.5/resolve/refs%2Fpr%2F1/special_tokens_map.json
- Command line
-
hf download hf://MichiganNLP/TAMA-QWen2.5@refs/pr/1/special_tokens_map.json
-
curl -L -o special_tokens_map.json https://huggingface.co/MichiganNLP/TAMA-QWen2.5/resolve/refs%2Fpr%2F1/special_tokens_map.json
613 Bytes
| { | |
| "additional_special_tokens": [ | |
| "<|im_start|>", | |
| "<|im_end|>", | |
| "<|object_ref_start|>", | |
| "<|object_ref_end|>", | |
| "<|box_start|>", | |
| "<|box_end|>", | |
| "<|quad_start|>", | |
| "<|quad_end|>", | |
| "<|vision_start|>", | |
| "<|vision_end|>", | |
| "<|vision_pad|>", | |
| "<|image_pad|>", | |
| "<|video_pad|>" | |
| ], | |
| "eos_token": { | |
| "content": "<|im_end|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| }, | |
| "pad_token": { | |
| "content": "<|endoftext|>", | |
| "lstrip": false, | |
| "normalized": false, | |
| "rstrip": false, | |
| "single_word": false | |
| } | |
| } | |