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
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [ChinarQ-AI]
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#- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [Finance Question Answer ]
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#- **Language(s) (NLP):** [More Information Needed]
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- **License:** [M.I.T]
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- **Finetuned from model [optional]:** [mistralai/Mistral-7B-v0.1]
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### Model Sources [optional]
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