Instructions to use Nomi97/Chatbot_QA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Nomi97/Chatbot_QA 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="Nomi97/Chatbot_QA")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("Nomi97/Chatbot_QA") model = AutoModelForQuestionAnswering.from_pretrained("Nomi97/Chatbot_QA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Create README.md
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by Esmaeilkiani - opened
README.md
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---
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license: apache-2.0
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datasets:
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- Cohere/wikipedia-2023-11-embed-multilingual-v3
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language:
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- fa
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metrics:
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- character
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library_name: adapter-transformers
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pipeline_tag: document-question-answering
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tags:
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- climate
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---
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