Text Generation
PEFT
Safetensors
Rust
English
Hyperswitch
LoRA
CPT
Causal-LM
code-generation
phased-training
multiNode-training
curriculum-learning
FSDP
conversational
Instructions to use AdityaNarayan/GLM-4.5-Air-HS-LoRA-CurriculumLearning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use AdityaNarayan/GLM-4.5-Air-HS-LoRA-CurriculumLearning with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("zai-org/GLM-4.5-Air") model = PeftModel.from_pretrained(base_model, "AdityaNarayan/GLM-4.5-Air-HS-LoRA-CurriculumLearning") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 949947c5a8c6d8345dec3ed2edcaeaffeb605bece83158ed08d2b8e89c3f6491
- Size of remote file:
- 20 MB
- SHA256:
- bda8e2146c3bb7b7e0fc96dcc4f0aeff041c6c27952e3ace0665663ebff346ba
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