Question Answering
Transformers
Safetensors
mistral
text-generation
unsloth
trl
sft
finance
text-generation-inference
Instructions to use Chinar-Q-AI/finance_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Chinar-Q-AI/finance_model with Transformers:
# Use a pipeline as a high-level helper # Warning: Pipeline type "question-answering" is no longer supported in transformers v5. # You must load the model directly (see below) or downgrade to v4.x with: # pip install "transformers<5.0.0" from transformers import pipeline pipe = pipeline("question-answering", model="Chinar-Q-AI/finance_model")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("Chinar-Q-AI/finance_model") model = AutoModelForCausalLM.from_pretrained("Chinar-Q-AI/finance_model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
Update README.md
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- unsloth
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- trl
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- sft
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---
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# Model Card for Model ID
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- unsloth
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- trl
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- sft
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- finance
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license: mit
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datasets:
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- llamafactory/fiqa
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base_model:
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- mistralai/Mistral-7B-v0.1
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pipeline_tag: question-answering
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# Model Card for Model ID
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