Text Generation
PEFT
Safetensors
sft
trl
hf_jobs
governed-ai
szl-holdings
doctrine-v11
identity
willay
conversational
Instructions to use SZLHOLDINGS/WILLAY with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SZLHOLDINGS/WILLAY with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-0.5B-Instruct") model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/WILLAY") - Notebooks
- Google Colab
- Kaggle
| { | |
| "arguments_by_text_source": {}, | |
| "migration_parent_revision": "f068446c7ebd89e5b31c22f3d6a40b13b7929db5", | |
| "purpose": "non-executable record replacing serialized trainer arguments", | |
| "replaces": { | |
| "deserialized": false, | |
| "introduced_by_revision": "abdeb804320c83fcce9a8929bad5f5a185c506ff", | |
| "path": "training_args.bin", | |
| "serialization": "pytorch-zip-pickle", | |
| "sha256": "594518fba495635ee89baf7d322d49c8f11163c04df90158f8949174ba39cc09", | |
| "size_bytes": 5713 | |
| }, | |
| "repository": "SZLHOLDINGS/WILLAY", | |
| "schema": "szl.training-arguments/v1", | |
| "scope": { | |
| "argument_completeness": "unavailable", | |
| "generated_by_deserializing_pickle": false, | |
| "inference_required": false, | |
| "resume_checkpoint": false | |
| }, | |
| "sources": [ | |
| { | |
| "path": "README.md", | |
| "revision": "abdeb804320c83fcce9a8929bad5f5a185c506ff", | |
| "sha256": "bf21b3bba46a91f46bda923fd09dacc70bdafc7e442e185820422ac272020c6f" | |
| } | |
| ], | |
| "training": { | |
| "framework_versions": { | |
| "datasets": "5.0.1", | |
| "pytorch": "2.13.0", | |
| "tokenizers": "0.23.1", | |
| "transformers": "5.16.1", | |
| "trl": "1.12.0" | |
| }, | |
| "method": "SFT" | |
| } | |
| } | |