Text Generation
PEFT
Safetensors
English
llama4_text
adaption-labs
autoscientist
legal
contract-clause-classification
cuad
hearsay
statutory-entailment
lora
hackathon
conversational
4-bit precision
bitsandbytes
Instructions to use narendarcodes/adaption-contract-clause-analyzer-109b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use narendarcodes/adaption-contract-clause-analyzer-109b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("togethercomputer/Llama-4-Scout-17B-16E-Instruct_bnb_4bit") model = PeftModel.from_pretrained(base_model, "narendarcodes/adaption-contract-clause-analyzer-109b") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8898b7063e3c1eba0efe7e0b2dba3bb8f6649c2aff7ceaea556b717f58ce91ed
- Size of remote file:
- 27.9 MB
- SHA256:
- 172c9eb4beafc72601690da3ccfcede5c2e6806a8d5ec1fca33e22acea8023a4
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