Instructions to use sulcan/CHATQCD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sulcan/CHATQCD with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/llama-3-8b-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "sulcan/CHATQCD") - Notebooks
- Google Colab
- Kaggle
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## Model Details
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- **Developed by:**
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):**
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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https://github.com/sulcantonin/CHATQCD_ICHEP24
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## Model Details
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- **Developed by:** Antonin Sulc, Patrick L.S. Connor
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** English
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- **Finetuned from model [optional]:** llama-7b
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### Model Sources [optional]
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