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") - Notebooks
- Google Colab
- Kaggle
Adapted the generation_config.json
Browse files- generation_config.json +2 -2
generation_config.json
CHANGED
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k":
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"top_p": 0.
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"transformers_version": "4.52.4"
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}
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"pad_token_id": 151643,
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"repetition_penalty": 1.05,
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"temperature": 0.7,
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"top_k": 50,
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"top_p": 0.9,
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"transformers_version": "4.52.4"
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}
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