Transformers
Safetensors
English
blenderbot
text2text-generation
biology
chemistry
physics
abiogenesis
science
research
Instructions to use lyubomirr/GAIA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lyubomirr/GAIA with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("lyubomirr/GAIA") model = AutoModelForSeq2SeqLM.from_pretrained("lyubomirr/GAIA", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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# Dataset
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The model is trained mostly on English, on over 6244 rows of mixed data with multiple science fields. The dataset consists mainly of of abiogenesis, biology, chemistry and physics knowledge.
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The abiogenesis part is scraped from trusted and reputable sources like Wikipedia, PubMed and ResearchGate. The biology, chemistry and physics portion is
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## Training information
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- Fine-tuned
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# Dataset
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The model is trained mostly on English, on over 6244 rows of mixed data with multiple science fields. The dataset consists mainly of of abiogenesis, biology, chemistry and physics knowledge.
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The abiogenesis part is scraped from trusted and reputable sources like Wikipedia, PubMed and ResearchGate. The biology, chemistry and physics portion is 33% each of larger synthetic datasets, provided by [CAMEL AI](https://huggingface.co/camel-ai).
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## Training information
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- Fine-tuned
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